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The Social Standards name and logo, and the product and service names associated with the Services are trademarks of Social Standards or third parties, and no right or license is granted to Customer to use them separate from Customerâs right to access the Services.")])]),i("li",[i("p",[i("u",[t._v("Third Party Content.")]),t._v(" Social Standards licenses content (âThird Party Contentâ) from various third- party providers (Third Party Providersâ). Customer agrees that it will not: (i) use any Third Party Content (in aggregate form or otherwise) in connection with any online advertising network, advertising exchange, or data broker, (ii) remove or alter any proprietary notices, copyright notices or marks from the Third Party Content or (iii) display any Third Party Content that may create a false or misleading impression as to the origin or value of such Third Party Content. Customer shall defend, indemnify and hold harmless Social Standards from any claims arising from Customerâs use of the Third-Party Content or breach by Customer of Third-Party Provider terms of service, rules and policies. Social Standards may at its option immediately terminate Customerâs access to and use of Third-Party Content in the event of Customerâs breach of this Agreement.")])]),i("li",[i("p",[i("u",[t._v("Customer Analysis.")]),t._v(" Subject to Social Standardsâ ownership of the Service and Third-Party Providersâ ownership of Third-Party Content, Customer retains all rights, title and interest in Customerâs own analysis of information and data generated from queries employed by Customer in its use of the Service.")])]),i("li",[i("p",[i("u",[t._v("Feedback.")]),t._v(" Social Standards may, without restriction, use, reproduce, copy, sell, license, distribute, publicly display or perform, incorporate into the Services, or otherwise exploit any suggestions, enhancement requests, recommendations or other feedback provided by Customer, relating to the operation of the Services.")])]),i("li",[i("p",[i("u",[t._v("Attribution.")]),t._v(" All digital or printed copies of reports, analyses, output, other materials or information generated or produced by the Service shall include the following attribution to Social Standards: âSource: Social Standards, Inc.â")])])])]),i("br"),i("li",[t._v("TERM. 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At any time at which Customer upgrades its Subscription, Customer shall pay any additional fees associated with such higher Subscription and, to the extent Customer has already pre-paid fees for its then current Subscription, Customer shall pay the incremental increase in fees for the upgraded Subscription over the prior Subscription in advance for the balance of the then-current Subscription. Social Standards will invoice Customer for any additional Social Standards fees related to a Subscription upgrade, which Social Standards fees will be due thirty (30) days from the date of invoice. Customer may not downgrade its Subscription at any time.")])]),i("li",[i("p",[i("u",[t._v("Termination.")]),t._v(" E
1xcept as otherwise stated herein, if Social Standards breaches a material term of the Agreement, and such breach is not cured within thirty (30) days after Social Standards receives written notice from Customer of such breach, Customer may terminate the Agreement upon the conclusion of such thirty (30) day period and Customer shall not be obligated to pay any sums due hereunder (except any sums due for the enjoyment of the Services prior to such termination). This Agreement will automatically terminate if Customer breaches a material term of this Agreement, and such breach is not cured within thirty (30) days after Customer receives written notice from Social Standards of such breach.")])]),i("li",[i("p",[i("u",[t._v("Suspension.")]),t._v(" Social Standards may only suspend the Services, or any portion thereof, or this Agreement for a material breach, including, but not limited to, a material breach of the payment obligations set forth in Section 7 below, with advance written notice of ten (10) business days, during which time Customer shall have the opportunity to cure such material breach (for clarity, if Customer reasonably cures such material breach, Social Standards shall not have the right to suspend the Agreement).")])]),i("li",[i("p",[i("u",[t._v("Effect of Termination or Expiration.")]),t._v(" Upon any termination or expiration of this Agreement, (a) all rights and licenses granted to each party by the other party in this Agreement will immediately cease to exist (except for any irrevocable licenses); (b) Social Standards may promptly cease performing all obligations under this Agreement; and (c) all access by Customer and any Users to the Services will be immediately terminated. The provisions of Sections 1, 2.c, 5, 6, 7 through 22 of this Agreement will survive termination of the Agreement for any reason.")])])])]),i("br"),i("li",[t._v("FEES AND PAYMENT. "),i("ol",{staticStyle:{position:"relative",top:"1em"},attrs:{type:"a"}},[i("li",[i("p",[i("u",[t._v("Fees.")]),t._v(" Customer will pay the Annual Subscription Fee and other payments set forth in the Order Form of the Agreement (âFeesâ) when due. Social Standards is not required to begin performance of any Services prior to receipt of any and all Fees due as per the invoicing structure set forth in each applicable Order Form.")])]),i("li",[i("p",[i("u",[t._v("Payment.")]),t._v(" Fees must be paid in U.S. Dollars. Customer agrees to pay invoices via electronic transfer payments to the bank and account number designated by Social Standards. Fees will be invoiced in accordance with the payment terms set forth in each applicable Order Form. Customer will notify Social Standards of any good faith dispute relating to any Fees in writing within thirty (30) days of Customerâs receipt of the invoice. Regardless of any reasonable dispute as to any Fees on an invoice, Customer will pay all other non-disputed Fees on such invoice (and all other non-disputed Fees on every other invoice), in accordance with the terms of this Agreement. Customerâs obligation to pay Fees not subject to a reasonable dispute will be unconditional and n
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If Social Standards has the legal obligation to pay or collect Taxes for which Customer is responsible under this paragraph, the appropriate amount shall be invoiced to and paid by Customer, unless Customer provides Social Standards with a valid tax exemption certificate authorized by the appropriate taxing authority. For clarity, Social Standards is solely responsible for taxes assessable against it based on its income, property and employees.")])])])]),i("br"),i("li",[t._v("CONFIDENTIAL INFORMATION. "),i("ol",{staticStyle:{position:"relative",top:"1em"},attrs:{type:"a"}},[i("li",[i("p",[i("u",[t._v("Obligations.")]),t._v(" The party receiving Confidential Information (the âReceiving Partyâ) from the other party (the âDisclosing Partyâ) will not use any Confidential Information of the Disclosing Party for any purpose other than the provision and receipt of Services under this Agreement. 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In addition, the Receiving Party will be allowed to disclose Confidential Information of the Disclosing Party to the extent that such disclosure is: (i) approved in writing by the Disclosing Party; (ii) necessary for the Receiving Party to enforce its rights under this Agreement in connection with a legal proceeding; or (iii) required by law or by the order of a court of similar judicial or administrative body, provided that (and subject to Subsection 8.a above) the Receiving Party notifies the Disclosing Party of such required disclosure promptly and in writing and cooperates with the Disclosing Party, at the Disclosing Partyâs reasonable request and expense, in any lawful action to contest or limit the scope of such required disclosure.")])]),i("li",[i("p",[i("u",[t._v("Return of Confidential Information.")]),t._v(" The Receiving Party will return to the Disclosing Party or destroy all Confidential Information of the Disclosing Party in the Receiving Partyâs possession or control and permanently erase all electronic copies of such Confidential Information promptly upon the written request of the Disclosing Party or the expiration or termination of this Agreement, whichever comes first. 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e={period:{from:"2021-12-02"},filters:[{field:"account_uid",value:t.token||t.account_uid,operation:"="}],aggregates:[{field:"ts_month",do_return:!0,do_order:!0}],summaries:[{function:"count",field:"ts",do_order:!0,descending:!0}]};return e},reportEventCount:function(t){var e={period:{from:"2021-12-02"},filters:[{field:"report_uid",value:t.object_uid,operation:"="}],aggregates:[{field:"ts_month",do_return:!0,do_order:!0}],summaries:[{function:"count",field:"ts",do_order:!0,descending:!0}]};return e},reportUsers:function(t){var e={period:{from:"2021-12-02"},filters:[{field:"report_uid",value:t.object_uid,operation:"="}],return:[{field:"page_name"},{field:"account_name"},{field:"email"},{field:"report_uid"},{field:"event_count"},{field:"ts",do_order:!0,descending:!0}]};return e},groupMe:function(t,e){var a=t.info.reduce((function(t,a){var 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")],1)])],1),i("v-container",{staticStyle:{width:"80%"},attrs:{id:"object-space"}},[i("v-row",[i("b",[t._v("The Social Standards Object Space")])]),i("v-row",{staticStyle:{"padding-top":"1em"}},[i("div",[t._v(" The hierarchically structured objects viewed through different market verticals creates the "),i("i",[t._v("Social Standards Object Space")]),t._v(". ")])]),i("v-row",[i("div",[t._v(" To understand this better, let's use an example: "),i("br"),i("br"),t._v(" Let's use the object 'Lipstick' as an example. 'Lipstick' is in the Product/Service Type High category. 'Lipstick' also rolls up into 'Lip Products', which in turn rolls up into 'Face Products' and then into 'Cosmetics'."),i("br"),i("br"),t._v(" When we view 'Lipstick' in the Consumer Forecast Lite interface, we view it through the "),i("b",[t._v("market vertical lens")]),t._v(". In this case, let's say we're looking at 'Lipstick' through the 'Beauty' market vertical -- this means, that we are viewing 'beauty' social media conversations which mention 'Lipstick'. "),i("br"),i("br"),t._v(" This allows us to benchmark and measure how 'Lipstick' conversations differ from the average Beauty conversation. "),i("br"),i("br"),t._v(" When analyzing percentiles, objects are categorized
1into three different buckets of similar object types - brands, produts and descriptive objects. This allows for more direct and relevant comparisons as object will be benchmarked against the group of related objects, and not against all objects. "),i("br"),i("br"),i("ul",[i("li",[t._v("Brands: "),t._l(this.brandList,(function(e,a){return i("span",{key:a},[a!==t.brandList.length-1?i("span",[t._v(t._s(e.text)+", ")]):i("span",[t._v(" and "+t._s(e.text)+". "),i("br")])])}))],2),i("li",[t._v("Products: Products: "),t._l(this.productList,(function(e,a){return i("span",{key:a},[a!==t.productList.length-1?i("span",[t._v(t._s(e.text)+", ")]):i("span",[t._v(" and "+t._s(e.text)+". "),i("br")])])}))],2),i("li",[t._v("Descriptive Objects: "),t._l(this.descriptiveList,(function(e,a){return i("span",{key:a},[a!==t.descriptiveList.length-1?i("span",[t._v(t._s(e.text)+", ")]):i("span",[t._v(" and "+t._s(e.text)+". "),i("br")])])}))],2)]),i("br"),t._v(" For example, comparing 'e.l.f Cosmetics' penetration with 'Lipstick' relative to other Brands, Organizations, and Brand Extensions in the Beauty vertical rather than to all objects in the Beauty vertical. ")])])],1),i("v-container",{staticStyle:{width:"80%","padding-top":"3em"},attrs:{id:"application"}},[i("v-row",[i("b",{staticStyle:{"font-size":"1.1em","text-decoration":"underline"}},[t._v("Consumer Forecast Application")])])],1),i("v-container",{staticStyle:{width:"80%"},attrs:{id:"search"}},[i("v-row",[i("b",[t._v("Consumer Forecast Home: Search")])]),i("v-row",[i("div",{attrs:{id:"advanced-search"}},[t._v(" The Consumer Forecast home screen allows the user to navigate to the three elements of the application: the Lookup Views, Workists and Dashboards. To access a Lookup view for an object you can search for it through the search bar, or the advanced search option."),i("br"),i("br"),t._v("The advanced search option allows for object filtering and sorting: ")]),i("div",[i("v-img",{attrs:{src:a("f450"),width:"450"}})],1)]),i("v-row",[i("div",{staticStyle:{"padding-top":".5em"}},[t._v(" If you don't know what to search, find some ideas "),i("router-link",{attrs:{tag:"a",to:t.helpPath("explore")}},[t._v("here")]),t._v(". ")],1)]),i("v-row",[i("div",{staticStyle:{"padding-top":"1em"}},[i("b",[t._v("Search Results")])])]),i("v-row",[i("div",{staticStyle:{"padding-top":".5em"}},[t._v(" The generated search results are listed in a table. Running a simple search will bring up the most relevant objects to your search, no matter their object type. "),i("br"),i("br"),t._v('For example the results when the keyword "Tea" is simple-searched: '),i("br"),i("br"),t._v(" The first column has the object's "),i("b",[t._v("name")]),t._v(". If the object is a brand, it might have an image of its "),i("b",[t._v("logo")]),t._v(". The third column lists the "),i("b",[t._v("object's type")]),t._v(". The fourth column lists "),i("b",[t._v("relevant product types")]),t._v(" for theat object. The last column lists "),i("b",[t._v("relevant market verticals")]),t._v(" for the object. "),i("br"),i("br"),t._v("Note that some objects have insufficient data and cannot be viewed through the look-up tool. "),i("br"),i("br"),t._v(" Click on the table's row to view the object, or right click and choose to open in another tab. When directing to an object from the search results page, the object's lookup view will be defaul to the object's "),i("router-link",{attrs:{tag:"a",to:{path:"/ConsumerForecast/help?page=definitions#default-domain"}}},[t._v("default market vertical")]),t._v(". ")],1),i("div",{staticStyle:{"padding-top":"1em"}},[i("v-img",{attrs:{src:a("71d6"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"3em"}},[i("div",[t._v(" When using the "),i("a",{attrs:{href:"#advanced-search"}},[t._v("advanced search")]),t._v(", the filter and sort items will appear above the table. ")]),i("div",{staticStyle:{"padding-top":"1em"}},[i("v-img",{attrs:{src:a("c842"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"2em"},attrs:{id:"bookmarks"}},[i("b",[t._v("Consumer Forecast Home: Bookmarks")])]),i("v-row",{staticStyle:{"padding-top":".5em"}},[t._v(" Bookmarks allow you to quickly navigate to your favorite objects. "),i("br"),t._v(" Add bookmarks by clicking the bookmark icon in the lookup view: ")]),i("v-row",{staticStyle:{"padding-top":".5em"}},[i("div",{staticStyle:{"background-color":"#D6E1EF",padding:"1em"}},[i("v-icon",{staticClass:"mark"},[t._v("mdi-bookmark-outline")])],1)]),i("v-row",{staticStyle:{"padding-top":"1em"}},[t._v(" You can view your bookmarks by clicking the 'Bookmarks' button in the home screen navigation menu. ")])],1),i("v-container",{staticStyle:{width:"80%"},attrs:{id:"lookup"}},[i("v-row",[i("b",{staticStyle:{"font-size":"1.1em"}},[t._v("Lookup View")])]),i("v-row",[i("div",[t._v(" Lookup Views are a way to view real-time data on a single object at a time. ")])])],1),i("v-container",{staticStyle:{width:"7
17%"},attrs:{id:"key"}},[i("v-row",[i("div",[i("b",[t._v("Key Metrics")])])]),i("v-row",[i("div",{staticStyle:{"padding-top":".5em"}},[t._v(" The key metrics banner has 4 main parts: "),i("ul",{staticStyle:{"padding-top":".7em","list-style-type":"decimal"}},[i("li",[t._v("Timeline Chart")]),i("li",[t._v("Growth Metrics")]),i("li",[t._v("Current Metrics")]),i("li",[t._v("Domain Distribution")])])])]),i("v-row",[i("div",{staticStyle:{"padding-top":"1em"}},[i("v-img",{attrs:{src:a("a320"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"2em"}},[i("div",[t._v(" 1. The Timeline Chart shows the object's activity over time. There are two overlay options, including "),i("router-link",{attrs:{to:t.helpPath("definitions#retention")}},[t._v("1 month User Retention over time")]),t._v(", as well as "),i("router-link",{attrs:{to:t.helpPath("definitions#spam")}},[t._v("Spam %")]),t._v(". "),i("br"),i("br"),t._v(" 2. The two Growth Metrics include absolute year over year change in the market vertical, as well as relative year over year change in the vertical. If the metric is greater than 0, the color of its container is green, whereas if it's less than 0, its color is orange. "),i("br"),i("br"),t._v(" 3. The two Current Metrics include Activity in the domain as posts per month, and the current month's "),i("router-link",{attrs:{to:t.helpPath("definitions#retention")}},[t._v("user retention")]),t._v(". Both boxes can be clicked on for further insight and information about the metric. "),i("br"),i("br"),t._v(" 4. Market Vertical distribution is a table that lists the top three verticals for that object, and their respective post % allocations. This box is also interactive -- click on it to see more information and a visualization of the table: ")],1),i("div",{staticStyle:{"padding-top":"1em"}},[i("v-img",{attrs:{src:a("cc2f"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"1.5em"},attrs:{id:"thme"}},[i("div",[i("b",[t._v("Themes")]),i("br"),i("br"),t._v("Themes are combined relational objects that have a unifying theme or topic. "),i("br"),i("br")])]),i("v-row",[i("div",[t._v(" Themes are displayed in a 2 column table, as seen below: ")])]),i("v-row",{staticStyle:{"padding-top":"1.5em"}},[i("div",[i("v-img",{attrs:{src:a("387a"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"1em"}},[i("div",[i("span",{staticStyle:{"text-decoration":"underline"}},[t._v("Percentile Column:")]),t._v(" Lists and visualizes the "),i("router-link",{attrs:{to:t.helpPath("definitions#percentile")}},[t._v("Penetration Percentile")]),t._v(" of the theme to the "),i("router-link",{attrs:{to:t.helpPath("definitions#focus")}},[t._v("focus object")]),t._v(". "),i("br"),i("br"),i("span",{staticStyle:{"text-decoration":"underline"}},[t._v("Chng Column:")]),t._v(" Lists the relative 3 month change of the penetration percentile. This shows how the significance of the theme to the object has changed over the past 3 months. ")],1)]),i("v-row",{staticStyle:{"padding-top":"2em"},attrs:{id:"rel-time"}},[i("div",[i("b",[t._v("Relations Timelines")])])]),i("v-row",{staticStyle:{"padding-top":".7em"}},[i("div",[t._v(" Relations Timelines are available for Brands, Brand Extensions, Organizations and Product Types. "),i("br"),i("br"),t._v(" There can be two charts in this section: a chart of Linked-Objects and a chart of Sub-Objects. Not all objects will have both available, some might have only one, or neither. "),i("br"),i("br"),t._v("Double click on the chart items to open their lookup view in a new tab. "),i("br"),i("br"),i("span",{staticStyle:{"text-decoration":"underline"}},[t._v("Linked Objects Relations Timeline")]),t._v(" is composed of objects that are explicitly linked in our database to our object. In this chart, the objects are limited to (if your focus object is a brand, the parent organization) as well as Product Types High/Low. "),i("br"),i("br"),t._v("The chart shows the "),i("router-link",{attrs:{to:t.helpPath("definitions#raw")}},[t._v("raw penetration %")]),t._v(" of the linked object to the "),i("router-link",{attrs:{to:t.helpPath("definitions#focus")}},[t._v("focus object")]),t._v(" over time, overlayed on the linked object's volume. ")],1)]),i("v-row",{staticStyle:{"padding-top":"1em"}},[i("div",[i("v-img",{attrs:{src:a("5b82"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"2em"}},[i("div",[i("span",{staticStyle:{"text-decoration":"underline"}},[t._v("Sub-Objects Relations Timeline")]),t._v(" is composed of 'Sub Objects', which are those that are children of "),i("router-link",{attrs:{to:t.helpPath("definitions#focus")}},[t._v("focus object")]),t._v(", allowing them to be compared against "),i("router-link",{attrs:{to:t.helpPath("definitions#focus")}},[t._v("focus object.")]),t._v(" In this chart, the objects are limited to brands and brand extensions. "),i("br"),i("br"),t._v("The chart shows the "),i("router-link",{attrs:{to:t.helpPath("definitions#reverse")}},[t._v("reverse penetration %")]),t._v(" of the "),i("router-link",{attrs:{to:t.helpPath("definitions#focus")}},[t._v("focus object")]),t._v(" to the sub-object over time, overlayed on the sub-object's volume. ")],1)]),i("v-row",{staticStyle:{"padding-top":"2em"}},[i("div",[i("v-img",{attrs:{src:a("693c"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"1.5em"},attrs:{id:"demos"}},[i("div",[i("b",[t._v("Demographics")]),i("br"),i("br"),t._v("There are 4 dimension to demographics: Gender, Age, Race and Income. "),i("br"),i("br"),t._v("For all dimensions both Percentile and Raw % are shown. However, percentile is presented first, since the metric is benchmarked. This is especially important with regards to gender, since Instagram, for example, has more female than male users, skewing raw metrics. By viewing percentiles, we can understand how much a topic/object skews towards a gender more than an average conversation relative to similarly categorized objects within the selected market vertical. "),i("br"),i("br"),t._v("Income data is split into 3 categories: Low, Mid and High. We define these as: "),i("br"),i("ul",[i("li",[t._v("Low: below $10,000 - $29,999 Annually")]),i("li",[t._v("Mid: $30,000 - $74,999 Annually")]),i("li",[t._v("High: $75,000 - $100,000 and over Annually")])])])]),i("v-row",{staticStyle:{"padding-top":"1.5em"},attrs:{id:"geos"}},[i("div",[i("b",[t._v("Geographies")]),i("br"),i("br"),t._v("Geographies are shown for Global Regions/Global Countries and USA Regions/USA States/USA MSAs. The default view for both Global and USA are percentiles. "),i("br"),i("br"),t._v("Percentiles allow for normalization, correcting the impact of region/country/state/MSA population size. "),i("br"),i("br"),t._v("You can toggle to view raw % by toggling here: "),i("br"),i("br"),i("v-img",{attrs:{src:a("8b5c"),width:"45vw"}})],1)]),i("v-row",{staticStyle:{"padding-top":"1.5em"},attrs:{id:"see-also"}},[i("div",[i("b",[t._v("See Also")]),i("br"),i("br"),t._v("See also links are navigatory. The see also configuration varies depen
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")]),a("p",[t._v(" Claiming to be employees of Social Standards, the scammers ask applicants to download Microsoft Teams for a text interview. Applicants are then sent a PDF of a fake check to buy equipment and pressured to send $500 via Zelle or asked to fill out a W-2 in order to gain personal information. ")]),a("p",[t._v(" Social Standards will never ask a job candidate or employee to send money as part of the recruiting or onboarding process. Any request for personal information will be made and handled as part of a transparent, professionally operated onboarding process only after we've established a formal relationship. ")]),a("p",[t._v(" To help protect future applicants we are sharing the fake identities used, but please note that these could change: ")]),a("ul",[a("li",[t._v("Michelle Arsenault")]),a("li",[t._v("Caroline Parsons - (716) 923-7625")]),a("li",[t._v("Jennifer Roland - 'CPA VP, Finance & Business Ops'")]),a("li",[t._v("Sherry Iris Bolinger - [email protected]")]),a("li",[t._v("Brad Sullivan - [email protected]")]),a("li",[t._v("Emir Avdic - [email protected]")])]),a("br"),a("p",[t._v("We urge applicants to look out for this scam and to report any suspicious activity to us at [email protected].")]),a("p",[t._v("Thank you, stay safe and please reach out with any questions.")]),a("br"),a("p",[a("strong",[t._v("Open Positions")]),t._v(" - Please check for open positions on "),a("a",{attrs:{href:"https://www.linkedin.com/company/social-standards/jobs",target:"_blank"}},[t._v("Social Standrads LinkedIn")]),t._v(" profile. ")])])},Ru=[],Pu={name:"career-page",mixins:[m],created:function(){this.logPageLoad({app_name:"S",page_name:this.$options.name})}},Lu=Pu,Fu=(a("b838"),Object(v["a"])(Lu,Iu,Ru,!1,null,null,null)),Vu=Fu.exports;f()(Fu,{VContainer:He["a"]});var Bu=function(){var t=this,e=t.$createElement,a=t._self._c||e;return a("v-layout",{staticClass:"social-data-native-page",staticStyle:{"min-height":"100vh"},attrs:{row:"",wrap:""}},[a("v-flex",{staticClass:"navigation-flex",attrs:{xs12:"",sm4:"",md3:"",lg2:""}},[a("nav",{staticClass:"sticky-nav-report"},[a("div",{staticClass:"nav-header"},[t._v("Contents:")]),a("a",{attrs:{href:"#hd1"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Product Overview")])]),a("a",{attrs:{href:"#hd2"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Value Of Social For AI")])]),a("a",{attrs:{href:"#hd3"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Deliverables")])]),a("a",{attrs:{href:"#hd4"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Data Samples")])]),a("a",{staticClass:"sub-item",attrs:{href:"#hd5"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Instagram")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd6"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Basic")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd7"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Enhanced")])]),a("a",{staticClass:"sub-item",attrs:{href:"#hd8"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("TikTok")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd9"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Basic")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd10"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Enhanced")])]),a("a",{staticClass:"sub-item",attrs:{href:"#hd11"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("X (Twitter)")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd12"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Basic")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd13"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Enhanced")])]),a("a",{staticClass:"sub-item",attrs:{href:"#hd14"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Reddit")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd15"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Basic")])]),a("a",{staticClass:"sub-sub-item",attrs:{href:"#hd16"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Enhanced")])]),a("a",{attrs:{href:"#hd17"}},[a("div",{staticClass:"contents-items-sticky"},[t._v("Terms")])])])]),a("v-flex",{staticClass:"content-flex",attrs:{xs12:"",sm8:"",md9:"",lg10:""}},[a("div",{staticClass:"report-page-header"},[a("div",{staticClass:"report-title-section"},[a("p",{staticClass:"new-report-title"},[t._v("Large Scale Social Media Dataset")]),a("p",{staticClass:"report-subtitle"},[t._v("Essential Ingredient For AI Training & Tuning")])]),a("br")]),a("div",{staticClass:"report-main-content-card"},[a("div",{staticClass:"report-content-body"},[a("hr",{staticClass:"solid"}),a("div",{staticStyle:{"line-height":"17px"}},[a("br")]),a("div",[a("div",{staticStyle:{"line-height":"28px"},attrs:{id:"hd1"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("a",{staticClass:"header-1",attrs:{href:"#"}},[a("b",[t._v("Product Overview")])])]),a("div",{staticStyle:{"line-height":"4px"}},[a("br")]),a("div",{staticStyle:{"line-height":"18px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("This is a unique offering of a "),a("b",[t._v("large-scale collection of social media posts")]),t._v(" from "),a("b",[t._v("Instagram, Twitter (X), Reddit, and TikTok")]),t._v(" spanning a period from 2016 to 2025, offered by the leading social analytics provider Social Standards.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Social Standards (https://www.socialstandards.com/) has been serving the "),a("b",[t._v("social analytics")]),t._v(" market since early 2016. Our customers include many Fortune 500 companies (Estee Lauder, Bank of America, Coca-Cola, BCG, Diageo, etc.) that rely on our insights for their strategic decisions.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("As part of our modeling requirements, we have collected massive amounts of data (50-95% sampling rate) from 4 major social networks. This data collection has required a "),a("b",[t._v("multimillion-dollar investment")]),t._v(" over the years, and this is the first time it has been made available for commercial use, adapted and restructured specifically for "),a("b",[t._v("LLM training.")])])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("The offered data consists exclusively of "),a("b",[t._v("publicly available posts")]),t._v(". 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In other words, anybody attempting to gather the same amount of data will likely incur much larger costs as our collection process has years of optimization built-in.")])]),a("div",{staticStyle:{"line-height":"28px"},attrs:{id:"hd2"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("a",{staticClass:"header-1",attrs:{href:"#"}},[a("b",[t._v("Value Of Social For AI")])])]),a("div",{staticStyle:{"line-height":"4px"}},[a("br")]),a("div",{staticStyle:{"line-height":"18px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Why is social data "),a("b",[t._v("critical")]),t._v(" for proper LLM training setup? While traditional training sources of public domain books, mass media publications, web site contents, etc. provide input sufficient for the core linguistic structure and codified cultural and some specialty knowledge, the "),a("b",[t._v("conversational")]),t._v(" aspect of any language (especially modern forms of expression found on social media) is simply not present in these readily accessible sources to the sufficient extent.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("The choice, or preference, for training set ultimately comes down to the "),a("b",[t._v("intended use")]),t._v(" of a given LLM. If the business objective is to automate customer support functions, the recordings of such support sessions must be part of the training. While today most "),a("b",[t._v("commercial applications")]),t._v(" of AI (and their underlying LLMs) call for various forms of "),a("b",[t._v("specialized knowledge")]),t._v(" and the records of the related communications, there is a large, and arguably most practically useful, area for future commercial application of AI: general "),a("b",[t._v("consumer intelligence")]),t._v(".")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Modern economy is a "),a("b",[t._v("consumer-driven")]),t._v(" economy. Therefore, any practical ability to serve the needs of the businesses engaged in such economic activities would be predicated on LLM's ability to know and to model "),a("b",[t._v("consumer mind")]),t._v(", or more precisely, "),a("b",[t._v("minds")]),t._v(" as there are numerous socially and geographically diverse groups of the consumers whose take on the wide range of topics differ greatly and whose identities cannot and should not be confused.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Training dataset from Social Standards offers "),a("b",[t._v("breadth and depth")]
1),t._v(" sufficient for a detailed and dynamic (up to the monthly resolution) modeling of "),a("b",[t._v("consumer mindset")]),t._v(" and its linguistic patterns. Not only this set could enable an LLM that is representative of the "),a("b",[t._v("consumer market perception")]),t._v(" suitable for commercial use, but also accurately model "),a("b",[t._v("individual consumer voices")]),t._v(" (e.g. active-lifestyle Hispanic US resident in his/her 30s with interest in skincare).")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("As we know from our own analytical application of social media data, consumer perceptions tend to be "),a("b",[t._v("much more dynamic")]),t._v(" than the general societal trends as reflected in mass media or via other established channels. Currently, social media remains the one and only source capable of capturing everchanging image of the modern consumer complete with their preferences, judgements, values, and expectations.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("That is why any future AI (LLM) that aspires to speak "),a("b",[t._v("in the voice of the consumer")]),t._v(" and to fairly represent "),a("b",[t._v("general public")]),t._v(" for any form of generative intelligence would necessarily have to utilize large training sets based on social media or some alternative sources of general conversational data of comparable magnitude.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Today we offer such a dataset â ready for "),a("b",[t._v("immediate use")]),t._v(".")])]),a("div",{staticStyle:{"line-height":"18px"}},[a("br")]),a("div",{staticStyle:{"line-height":"28px"},attrs:{id:"hd3"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("a",{staticClass:"header-1",attrs:{href:"#"}},[a("b",[t._v("Deliverables")])])]),a("div",{staticStyle:{"line-height":"4px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Dataset is available in two trim levels:")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[a("ul",{staticStyle:{width:"100%","list-style-type":"disc","padding-left":"20px"}},[a("li",[a("b",[t._v("Basic")]),t._v(" â post data adapted for LLM training needs sufficient for accurate representation and modeling of various forms of modern social expression. ")]),a("li",[a("b",[t._v("Enhanced")]),t._v(" â suitable for socio-economic profiling of various user cohorts (demographic, geographic, interests, etc.) and various post types (e.g. commercial/non-commercial)")])])])]),a("div",{staticStyle:{"line-height":"18px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("The following is the data-field enumeration of the main data file (posts) for both product options:")])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block data-table-container"},[a("table",{staticClass:"data-table"},[a("thead",[a("tr",[a("th",[t._v("field name")]),a("th",[t._v("data type")]),a("th",[t._v("basic option")]),a("th",[t._v("Instagram enhanced")]),a("th",[t._v("Twitter (X) enhanced")]),a("th",[t._v("Reddit enhanced")]),a("th",[t._v("TikTok enhanced")])])]),a("tbody",[a("tr",[a("td",[t._v("source")]),a("td",[t._v("integer")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("month_index")]
1),a("td",[t._v("integer")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("post_id_hash")]),a("td",[t._v("varchar")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("post date")]),a("td",[t._v("timestamp")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("userid_hash")]),a("td",[t._v("varchar")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("post text")]),a("td",[t._v("varchar")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("script")]),a("td",[t._v("varchar(2)")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("comment_count")]),a("td",[t._v("integer")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("like_count")]),a("td",[t._v("integer")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("is_spam")]),a("td",[t._v("boolean")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("is_commercial")]),a("td",[t._v("boolean")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("location")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("state")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("country")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("main_domain_id")]),a("td",[t._v("integer")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("domains")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("objects")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("play_count")]),a("td",[t._v("integer")]),a("td"),a("td"),a("td"),a("td"),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("share_count")]),a("td",[t._v("integer")]),a("td"),a("td"),a("td"),a("td"),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("subreddit name")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("post_type")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("post_flair")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("post_title")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("main post date")]),a("td",[t._v("timestamp")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("main post id hash")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("parent_post_id_hash")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("cross_post_id_hash")]),a("td",[t._v("varchar")]),a("td"),a("td"),a("td"),a("td",[t._v("X")]),a("td")]),a("tr",[a("td",[t._v("user_demographics")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("user_interests")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])]),a("tr",[a("td",[t._v("user_affinities")]),a("td",[t._v("varchar")]),a("td"),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")]),a("td",[t._v("X")])])])])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("The following are the descriptions of the data fields enumerated above:")])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block data-table-container"},[a("table",{staticClass:"data-table field-description-table"},[a("thead",[a("tr",[a("th",[t._v("field name")]),a("th",[t._v("description")])])]),a("tbody",[a("tr",[a("td",[t._v("source")]),a("td",[t._v("numeric code for data source (1-Instagram, 3-Twitter, 5-Reddit, 7-TikTok)")])]),a("tr",[a("td",[t._v("month_index")]
1),a("td",[t._v("number of months since 1/1/2010")])]),a("tr",[a("td",[t._v("post_id_hash")]),a("td",[t._v("original post ID hashed")])]),a("tr",[a("td",[t._v("post date")]),a("td",[t._v("date of posting")])]),a("tr",[a("td",[t._v("userid_hash")]),a("td",[t._v("user handle hashed with no option for the original handle reconstruction")])]),a("tr",[a("td",[t._v("post text")]),a("td",[t._v("full text of the original post")])]),a("tr",[a("td",[t._v("script")]),a("td",[t._v("2 character ISO 639-1 language code - for primary language of the post")])]),a("tr",[a("td",[t._v("comment_count")]),a("td",[t._v("number of comments")])]),a("tr",[a("td",[t._v("like_count")]),a("td",[t._v("number of likes")])]),a("tr",[a("td",[t._v("is_spam")]),a("td",[t._v("flag indicating the agiven post is classified as Spam")])]),a("tr",[a("td",[t._v("is_commercial")]),a("td",[t._v("flag indicating the agiven post is classified as Commrcial")])]),a("tr",[a("td",[t._v("location")]),a("td",[t._v("posting location")])]),a("tr",[a("td",[t._v("state")]),a("td",[t._v("state portion of posting location")])]),a("tr",[a("td",[t._v("country")]),a("td",[t._v("country portion of posting location")])]),a("tr",[a("td",[t._v("main_domain_id")]),a("td",[t._v("numeric domain ID for the domain most relevant for a given post")])]),a("tr",[a("td",[t._v("domains")]),a("td",[t._v("numeric domain IDs separated by '~'")])]),a("tr",[a("td",[t._v("objects")]),a("td",[t._v("list of Social Statndards objects relevant for post separated by '~'")])]),a("tr",[a("td",[t._v("play_count")]),a("td",[t._v("TikTok only: number of plays")])]),a("tr",[a("td",[t._v("share_count")]),a("td",[t._v("TikTok only: number of shares")])]),a("tr",[a("td",[t._v("subreddit name")]),a("td",[t._v("Reddit only: name of the subreddit")])]),a("tr",[a("td",[t._v("post_type")]),a("td",[t._v("Reddit only: type of post: main or comment")])]),a("tr",[a("td",[t._v("post_flair")]),a("td",[t._v("Reddit only: flair of the post")])]),a("tr",[a("td",[t._v("post_title")]),a("td",[t._v("Reddit only: title of Reddit post")])]),a("tr",[a("td",[t._v("main post date")]),a("td",[t._v("Reddit only: date of the main post")])]),a("tr",[a("td",[t._v("main post id hash")]),a("td",[t._v("Reddit only: ID of the original main post hashed")])]),a("tr",[a("td",[t._v("parent_post_id_hash")]),a("td",[t._v("Reddit only: ID of the original parent post hashed")])]),a("tr",[a("td",[t._v("cross_post_id_hash")]),a("td",[t._v("Reddit only: ID of the original cross post hashed")])]),a("tr",[a("td",[t._v("user_demographics")]),a("td",[t._v("numeric user descriptor IDs separated by '~'")])]),a("tr",[a("td",[t._v("user_interests")]),a("td",[t._v("numeric user descriptor IDs separated by '~'")])]),a("tr",[a("td",[t._v("user_affinities")]),a("td",[t._v("numeric user descriptor IDs separated by '~'")])])])])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("In addition to the main data file two reference files are also provided")])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block data-table-container"},[a("table",{staticClass:"data-table domain-reference-table"},[a("thead",[a("tr",[a("th",[t._v("field name")]),a("th",[t._v("description")])])]),a("tbody",[a("tr",[a("td",[t._v("domain_id")]),a("td",[t._v("unique numeric identifier")])]),a("tr",[a("td",[t._v("domain_name")]),a("td",[t._v("name of the market vertical (domain)")])])])])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block data-table-container"},[a("table",{staticClass:"data-table user-descriptor-table"},[a("thead",[a("tr",[a("th",[t._v("field name")]),a("th",[t._v("description")])])]),a("tbody",[a("tr",[a("td",[t._v("descriptor_id")]),a("td",[t._v("unique numeric identifier")])]),a("tr",[a("td",[t._v("descriptor_name")]),a("td",[t._v("name of the descriptor")])])])])]),a("div",{staticStyle:{"line-height":"9px"}},[a("br")]),a("div",{staticStyle:{"line-height":"18px"}},[a("br")]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Data is available in the form of "),a("b",[t._v("digital transfer")]),t._v(" from AWS S3 location via secure link.")])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Data exports are encoded in "),a("b",[t._v("UTF8")]),t._v(" and are structured in the "),a("b",[t._v("database-import-ready")]),t._v(" form. Data is available in the industry standard formats of "),a("b",[t._v("CSV, JSON-LD, Parquet.")])])]),a("div",{staticClass:"w3-container ss_block",staticStyle:{padding:"0.2em","font-size":"1em"}},[a("span",{staticStyle:{"font-size":"14px",color:"black"}},[t._v("Output consists of a collection of chronological files with the following naming convention: [data source]_[trim level]_[month index]_[sequence].gzip, where "),a("b",[t._v("data source")]),t._v(" is one of IG, TW, RD, TT; "),a("b",[t._v("trim level")]),t._v(" is either B (Basic) or E (enhanced);
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