Battling the Coronavirus Infodemic Among Social Media Users in Kenya and Nigeria
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arXiv
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| Format: | Preprint |
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2022
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| author | Offer-Westort, Molly Rosenzweig, Leah R. Athey, Susan |
| author_facet | Offer-Westort, Molly Rosenzweig, Leah R. Athey, Susan |
| contents | How can we induce social media users to be discerning when sharing information during a pandemic? An experiment on Facebook Messenger with users from Kenya (n = 7,498) and Nigeria (n = 7,794) tested interventions designed to decrease intentions to share COVID-19 misinformation without decreasing intentions to share factual posts. The initial stage of the study incorporated: (i) a factorial design with 40 intervention combinations; and (ii) a contextual adaptive design, increasing the probability of assignment to treatments that worked better for previous subjects with similar characteristics. The second stage evaluated the best-performing treatments and a targeted treatment assignment policy estimated from the data. We precisely estimate null effects from warning flags and related article suggestions, tactics used by social media platforms. However, nudges to consider information's accuracy reduced misinformation sharing relative to control by 4.9% (estimate = -2.3 pp, s.e. = 1.0 , Z = -2.31, p = 0.021, 95% CI = [-4.2 , -0.35]). Such low-cost scalable interventions may improve the quality of information circulating online. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2212_13638 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | Battling the Coronavirus Infodemic Among Social Media Users in Kenya and Nigeria Offer-Westort, Molly Rosenzweig, Leah R. Athey, Susan Social and Information Networks General Economics Economics Applications How can we induce social media users to be discerning when sharing information during a pandemic? An experiment on Facebook Messenger with users from Kenya (n = 7,498) and Nigeria (n = 7,794) tested interventions designed to decrease intentions to share COVID-19 misinformation without decreasing intentions to share factual posts. The initial stage of the study incorporated: (i) a factorial design with 40 intervention combinations; and (ii) a contextual adaptive design, increasing the probability of assignment to treatments that worked better for previous subjects with similar characteristics. The second stage evaluated the best-performing treatments and a targeted treatment assignment policy estimated from the data. We precisely estimate null effects from warning flags and related article suggestions, tactics used by social media platforms. However, nudges to consider information's accuracy reduced misinformation sharing relative to control by 4.9% (estimate = -2.3 pp, s.e. = 1.0 , Z = -2.31, p = 0.021, 95% CI = [-4.2 , -0.35]). Such low-cost scalable interventions may improve the quality of information circulating online. |
| title | Battling the Coronavirus Infodemic Among Social Media Users in Kenya and Nigeria |
| topic | Social and Information Networks General Economics Economics Applications |
| url | https://arxiv.org/abs/2212.13638 |