Half of the channels analyzed were aimed at local audiences and they were responsible for sending the vast majority of the messages: 7,064 (79.8% of the total).Ĭomplementarily, we selected a sample of 965 messages from a two-week period (January 11 to 24, 2021) inside the broader data set and human-coded them into topics, types of audience engagement requests and direct mention to the news organizations' business models based on previous studies on social media and chat apps (Boczek & Koppers, 2020 Moon & Hadley, 2014). First, we performed a computational content analysis with Python for identification of patterns in terms of frequencies, formats, lengths of messages, figures of speech, such as emojis, etc. We analyzed 18 media channels (half are groups and the other half are broadcast lists) maintained by 14 Brazilian media organizations on WhatsApp between Novemand Ma(120 days) to understand how this process is carried out on this messaging application. ![]() In this scenario, more news organizations are attempting to use the platform to reach audiences. In Brazil, 83% of the population utilize it daily for different purposes and roughly 50% use it to get the news (Newman et al., 2020). As a result, news consumption has been increasingly migrating to other mobile tools, such as WhatsApp, which is the most used messaging application in Latin America and in most of the world. In January 2018, however, Facebook started making radical changes to its algorithms in order to increase the importance of content posted by friends and family at the expense of news (Rashidian et al., 2019). ![]() Online news consumption on mobile devices has surpassed desktop since 2016, and social media (especially Facebook) have played a significant role in the intensification of this behavior (Levy et al., 2016). ![]() Number of messages collected from each Brazilian news channel on
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