‘Cambridge Moralica’ - Towards an Ethical Framework for Social Media Analytics

Jung, Anna-Katharina; Clausen, Sünje; Franzke, Aline Shatki; Marx, Julian

doi:10.3127/ajis.v26i0.3121

Cited by 2 publications

(1 citation statement)

References 47 publications

(88 reference statements)

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“…After the first step of concretizing the research domain, the second and third steps of the framework, tracking and preparation, will be laid out in this section. Moreover, we followed the SMA ethics guidelines suggested by Jung et al (2022). The data for this case study were tracked with the standard Twitter search API.…”

Section: Data Collectionmentioning

confidence: 99%

Combating misinformation with internet culture: the case of Brazilian public health organizations and their COVID-19 vaccination campaigns

Marx,

Blanco,

Amaral

et al. 2023

INTR

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Purpose This study investigates the communication behavior of public health organizations on Twitter during the COVID-19 vaccination campaign in Brazil. It contributes to the understanding of the organizational framing of health communication by showcasing several instances of framing devices that borrow from (Brazilian) internet culture. The investigation of this case extends the knowledge by providing a rich description of the organizational framing of health communication to combat misinformation in a politically charged environment.Design/methodology/approach The authors collected a Twitter dataset of 77,527 tweets and analyzed a purposeful subsample of 536 tweets that contained information provided by Brazilian public health organizations about COVID-19 vaccination campaigns. The data analysis was carried out quantitatively and qualitatively by combining social media analytics techniques and frame analysis.Findings The analysis showed that Brazilian health organizations used several framing devices that have been identified by previous literature such as hashtags, links, emojis or images. However, the analysis also unearthed hitherto unknown visual framing devices for misinformation prevention and debunking that borrow from internet culture such as “infographics,” “pop culture references” and “internet-native symbolism.”Research limitations/implications First, the identification of framing devices relating to internet culture add to our understanding of the so far little addressed framing of misinformation combat messages. The case of Brazilian health organizations provides a novel perspective to knowledge by offering a notion of internet-native symbols (e.g. humor, memes) and popular culture references for misinformation combat, including misinformation prevention. Second, this study introduces a frontier of political contextualization to misinformation research that does not relate to the partisanship of the spreaders but that relates to the political dilemmas of public organizations with a commitment to provide accurate information to citizens.Practical implications The findings inform decision-makers and public health organizations about framing devices that are tailored to internet-native audiences and can guide strategies to carry out information campaigns in misinformation-laden social media environments.Social implications The findings of this case study expose the often-overlooked cultural peculiarities of framing information campaigns on social media. The report of this study from a country in the Global South helps to contrast several assumptions and strategies that are prevalent in (health) discourses in Western societies and scholarship.Originality/value This study uncovers unconventional and barely addressed framing devices of health organizations operating in Brazil, which provides a novel perspective to the body of research on misinformation. It contributes to existing knowledge about frame analysis and broadens the understanding of frame devices borrowing from internet culture. It is a call for a frontier in misinformation research that deals with internet culture as part of organizational strategies for successful misinformation combat.

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Section: Data Collectionmentioning

confidence: 99%