While these incidents have included random strangers being beaten to death on the suspicion that they are potential child-kidnappers or organ-snatchers, discriminated groups such as Muslims and Dalits have been especially targeted, particularly in relation to allegations of cow slaughter – an issue that has increasingly been used as a catalyst for attacks by right-wing Hindu nationalists.
Typology of misinformation
IIn order to better understand how WhatsApp and other social media messaging platforms are implicated in discriminatory mob violence, using funding from WhatsApp we conducted an independent qualitative study in four large states of India between November 2018 and August 2019. As part of this study, we interacted with nearly 300 WhatsApp users from a wide range of backgrounds: men and women aged between 18 and 50, in both rural and urban areas, from upper and lower castes, and including Hindus, Muslims and Adivasis with a variety of political beliefs and occupations. We also studied more than 1,000 WhatsApp anonymized messages that were typically shared in WhatsApp groups.
Based on this review, we developed a typology of violence-fuelling misinformation that is most commonly received and shared by Indian WhatsApp users. The categories include:
- Overwhelming content: still and moving images of incidents from across the world, shared without context, each displaying something spectacular — an execution, an accident, a child getting beaten up, a natural disaster, fires and so on — to engage users by imparting a sense of shock. This content also serves the function of establishing a WhatsApp group as a significant channel of information unavailable in mainstream broadcast and print media, where graphic violence is generally not shown.
- Nationalism and ethno-religious bigotry: these messages are conspiratorial, drawing on a wide number of established stereotypes and prejudices against minority populations. They often build on negative propaganda featured in mainstream outlets, such as anxieties around population growth among poor and minority populations, conspiracy theories about the forced conversion of disenfranchised Hindus to Christianity, smear campaigns aimed at opposition politicians, and other narratives aiming to incite hostility towards particular groups or individuals.
- Miscellaneous: this includes festival-related greetings, videos of animals, television clips from talent shows and news programmes, public events, humorous clips from India and across the world (including content imported from other platforms such as YouTube and TikTok) and other material. Though seemingly innocuous, these snippets function to sustain the impression of a constant ‘flow’ of information and to build the profile, brand and legitimacy of users who pass on other kinds of misinformation.
- Gendered content: as in many other areas, WhatsApp usage in India continues to be highly gendered. Women across age, religion, class and caste do not have unrestricted access to mobile phones, and their use is often closely monitored and controlled by their husbands, brothers, fathers or other male relatives. Young women who do use social media frequently experience messages threatening them with devastating physical and symbolic violence, including rape, harassment and the public sharing of personal information to intimidate them into silence. Frequently, incidents of online harassment result in a vicious circle, where families and communities blame the women for attracting these attacks.
A recurrent trope that has recently emerged is reports — usually a short video or an image with a voiceover — of child-kidnapping ‘gangs’ or an individual kidnapper allegedly doing the rounds in or around a community. Since 2017, when the frequency of these attacks dramatically increased, dozens of people have been lynched on the suspicion that they are child-kidnappers. Usually, in South Indian states the ‘stranger’ is described as being from North India and vice versa. More recently, the same misinformation is being shared with the putative strangers now being described as Rohingya Muslim refugees, thus playing into the government’s strategic generation of fear and loathing of outsiders in the wake of its National Register of Citizens initiative.
User motivations
A significant section of WhatsApp users expressed fatigue with the volume of WhatsApp messages received in a single day. They were members of several groups formed on the basis of family, friendship, neighbourhood, caste, religion, political party and occupation. Users were part of most of these networks offline and active online participation cemented their credibility and membership in the offline world. It mattered to users that they be seen as active, knowing WhatsApp participants in specific groups.
Some users — particularly those over 25 — categorized messages on the basis of sender-credibility. Younger users, on the other hand, were more sceptical about the accuracy of the messages because of enhanced functional media literacy. If a video message was edited heavily, for instance, they were able to spot the places where the video had been altered and were suspicious of its authenticity — although this did not always lead them to reject the message or to report it. Most users suspended their scepticism during politically charged moments such as cross-border conflict and general elections, or regarding news of child-kidnappings. During such occasions, users reported that they forwarded messages out of an assumed sense of civic duty, and out of loyalty to family or communal ties that have historic roots. That these ties were often caste-based, partisan and led to the spread of misinformation was less important to them than displaying adequate nationalist or communal fervour at a fraught moment. Another finding was that, contrary to popular belief, users with little or no digital and media literacy played a minimal role in the spread of misinformation. A very small number would receive and forward misinformation uncritically. However, it was primarily upper-caste privileged men, and some women connected to them, with high levels of functional media literacy and class capital, who were involved both in producing this content and creating the networks to disseminate it to others.