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WhatsApp is the most popular messaging app in the world. The closed nature ofthe app, in addition to the ease of transferring multimedia and sharinginformation to large-scale groups make WhatsApp unique among other platforms,where an anonymous encrypted messages can become viral, reaching multiple usersin a short period of time. The personal feeling and immediacy of messagesdirectly delivered to the user's phone on WhatsApp was extensively abused tospread unfounded rumors and create misinformation campaigns during recentelections in Brazil and India. WhatsApp has been deploying measures to mitigatethis problem, such as reducing the limit for forwarding a message to at mostfive users at once. Despite the welcomed effort to counter the problem, thereis no evidence so far on the real effectiveness of such restrictions. In thiswork, we propose a methodology to evaluate the effectiveness of such measureson the spreading of misinformation circulating on WhatsApp. We use anepidemiological model and real data gathered from WhatsApp in Brazil, India andIndonesia to assess the impact of limiting virality features in this kind ofnetwork. Our results suggest that the current efforts deployed by WhatsApp canoffer significant delays on the information spread, but they are ineffective inblocking the propagation of misinformation campaigns through public groups whenthe content has a high viral nature.

Can WhatsApp Counter Misinformation by Limiting Message Forwarding?