Bb5a31f81ClaimReducing the prevalence of politically like-minded content in user feeds during the 2020 US presidential election had no measurable effect on affective polarization, ideological extremity, candidate evaluations, or belief in false claimsAgreeDisagree
Bb5a31f81ClaimThe 2020 Facebook and Instagram Election Research Study papers were published across the scientific journals Science and NatureAgreeDisagree
Bb5a31f81ClaimExperimental algorithmic modifications across a three-month period during the 2020 US election produced no detectable changes in participants' political attitudesAgreeDisagree
Bb5a31f81ClaimThe 2020 Facebook and Instagram Election Research Study combined platform-wide aggregate observational studies of adult US users with experimental studies on consenting participantsAgreeDisagree
Bb5a31f81ClaimThe average Facebook user receives less than 15% of their content on Facebook from cross-cutting ideological sourcesAgreeDisagree
Bb5a31f81ClaimContent flagged as misinformation by Facebook fact-checkers was disproportionately consumed by right-leaning users on the platformAgreeDisagree
Bb5a31f81ClaimTalia Stroud of the University of Texas at Austin and Joshua Tucker of New York University served as academic co-leaders of the 2020 Facebook and Instagram Election Research StudyAgreeDisagree
Bb5a31f81ClaimIn the 2020 Facebook and Instagram Election Research Study, eliminating reshared content reduced user exposure to untrustworthy sources but simultaneously decreased user exposure to mainstream political news headlinesAgreeDisagree
Bb5a31f81ClaimThe analysis of political news URLs in the 2020 Facebook and Instagram Election Research Study measured audience distribution patterns rather than the textual content of the linked articlesAgreeDisagree
Bb5a31f81ClaimThe experimental reduction of politically like-minded content in the 2020 Facebook and Instagram Election Research Study was administered for a three-month duration during an active presidential election campaignAgreeDisagree
Bb5a31f81ClaimIn the 2020 Facebook and Instagram Election Research Study, significantly more political news URLs circulated almost exclusively within conservative audiences than within liberal audiencesAgreeDisagree
Bb5a31f81ClaimInformed consent and Institutional Review Board review are mandatory standards for human subjects research conducted by academic institutions in the United StatesAgreeDisagree
Bb5a31f81ClaimIn the 2020 Facebook and Instagram Election Research Study, switching Facebook users to a chronological feed reduced their exposure to uncivil contentAgreeDisagree
Bb5a31f81ClaimAlgorithmic systems directly alter the specific content that users see and determine how users engage on Meta's social media platformsAgreeDisagree
Bb5a31f81ClaimThe average Facebook user receives slightly more than 50% of their platform content from politically like-minded sourcesAgreeDisagree
Bb5a31f81ClaimThe 2020 Facebook and Instagram Election Research Study involved a collaboration between a core team of 17 academic researchers and 15 Meta researchersAgreeDisagree
Bb5a31f81ClaimThe 2020 Facebook and Instagram Election Research Study evaluated political news URLs that were shared at least 100 times on FacebookAgreeDisagree
Bb5a31f81ClaimOver 20 million dollars was spent to conduct the 2020 Facebook and Instagram Election Research StudyAgreeDisagree
Bb5a31f81ClaimMeta held no right of pre-publication approval over the research papers produced by the 2020 Facebook and Instagram Election Research StudyAgreeDisagree
Bb5a31f81ClaimResearchers in the 2020 Facebook and Instagram Election Research Study implemented experimental conditions testing reverse-chronological feeds, the removal of reshared content, and reductions in politically like-minded contentAgreeDisagree