A Twitter discourse analysis of negative feelings and stigma related to NAFLD, NASH and obesity. (8th June 2021)

• Record Type: Journal Article
• Authors: Lazarus, Jeffrey V.; Kakalou, Christine; Palayew, Adam; Karamanidou, Christina; Maramis, Christos; Natsiavas, Pantelis; Picchio, Camila A; Villota‐Rivas, Marcela; Zelber‐Sagi, Shira; Carrieri, Patrizia
• Is Part Of: Liver international. Volume 41:Number 10(2021)
• Page Start: 2295
• Page End: 2307
• Publication Date: 2021-06-08
• Subjects: liver disease -- stigma -- social media -- Twitter; Liver -- Periodicals; Liver -- Diseases -- Periodicals; 616.362
• DOI: 10.1111/liv.14969
• Languages: English
• ISSNs: 1478-3223

Abstract

Abstract: Background: People with non‐alcoholic fatty liver disease (NAFLD) and non‐alcoholic steatohepatitis (NASH) are stigmatized, partly since 'non‐alcoholic' is in the name, but also because of obesity, which is a common condition in this group. Stigma is pervasive in social media and can contribute to poorer health outcomes. We examine how stigma and negative feelings concerning NAFLD/NASH and obesity manifest on Twitter. Methods: Using a self‐developed search terms index, we collected NAFLD/NASH tweets from May to October 2019 (Phase I). Because stigmatizing NAFLD/NASH tweets were limited, Phase II focused on obesity (November‐December 2019). Via sentiment analysis, >5000 tweets were annotated as positive, neutral or negative and used to train machine learning–based Natural Language Processing software, applied to 193 747 randomly sampled tweets. All tweets collected were analysed. Results: In Phase I, 16 835 tweets for NAFLD and 2376 for NASH were retrieved. Of the annotated NAFLD/NASH tweets, 97/1130 (8.6%) and 63/535 (11.8%), respectively, related to obesity and 13/1130 (1.2%) and 5/535 (0.9%), to stigma; they primarily focused on scientific discourse and unverified information. Of the 193 747 non‐annotated obesity tweets (Phase II), the algorithm classified 40.0% as related to obesity, of which 85.2% were negative, 1.0% positive and 13.7% neutral. Conclusions: NAFLD/NASH tweets mostly indicated an unmet information need and showed no clear signs of stigma. However, the negative content of obesity tweets was recurrent. As obesity‐related stigma is associated with reduced care engagement and lifestyle modification, the main NAFLD/NASH treatment, stigma‐reducing interventions in social media should be included in the liver health agenda.