Collaboratively adding context to social media posts reduces the sharing of false news
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910397379903488 |
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| author | Renault, Thomas Amariles, David Restrepo Troussel, Aurore |
| author_facet | Renault, Thomas Amariles, David Restrepo Troussel, Aurore |
| contents | We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in difference design, our findings reveal that adding context below a tweet reduces the number of retweets by almost half. A significant, albeit smaller, effect is observed when focusing on the number of replies or quotes. Community Notes also increase by 80% the probability that a tweet is deleted by its creator. The post-treatment impact is substantial, but the overall effect on tweet virality is contingent upon the timing of the contextual information's publication. Our research concludes that, although crowdsourced fact-checking is effective, its current speed may not be adequate to substantially reduce the dissemination of misleading information on social media. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_02803 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Collaboratively adding context to social media posts reduces the sharing of false news Renault, Thomas Amariles, David Restrepo Troussel, Aurore General Economics Economics We build a novel database of around 285,000 notes from the Twitter Community Notes program to analyze the causal influence of appending contextual information to potentially misleading posts on their dissemination. Employing a difference in difference design, our findings reveal that adding context below a tweet reduces the number of retweets by almost half. A significant, albeit smaller, effect is observed when focusing on the number of replies or quotes. Community Notes also increase by 80% the probability that a tweet is deleted by its creator. The post-treatment impact is substantial, but the overall effect on tweet virality is contingent upon the timing of the contextual information's publication. Our research concludes that, although crowdsourced fact-checking is effective, its current speed may not be adequate to substantially reduce the dissemination of misleading information on social media. |
| title | Collaboratively adding context to social media posts reduces the sharing of false news |
| topic | General Economics Economics |
| url | https://arxiv.org/abs/2404.02803 |