People on Drugs: Credibility of User Statements in Health Communities

Online health communities are a valuable source of information for patients and physicians. However, such user-generated resources are often plagued by inaccuracies and misinformation. In this work we propose a method for automatically establishing the credibility of user-generated medical statements and the trustworthiness of their authors by exploiting linguistic cues and distant supervision from expert sources. To this end we introduce a probabilistic graphical model that jointly learns user trustworthiness, statement credibility, and language objectivity. We apply this methodology to the task of extracting rare or unknown side-effects of medical drugs --- this being one of the problems where large scale non-expert data has the potential to complement expert medical knowledge. We show that our method can reliably extract side-effects and filter out false statements, while identifying trustworthy users that are likely to contribute valuable medical information

Determinants of Infodemics During Disease Outbreaks: A Systematic Review

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods. Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles. Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks. Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation

Determinants of Infodemics During Disease Outbreaks: A Systematic Review

Background: The widespread use of social media represents an unprecedented opportunity for health promotion. We have more information and evidence-based health related knowledge, for instance about healthy habits or possible risk behaviors. However, these tools also carry some disadvantages since they also open the door to new social and health risks, in particular during health emergencies. This systematic review aims to study the determinants of infodemics during disease outbreaks, drawing on both quantitative and qualitative methods. Methods: We searched research articles in PubMed, Scopus, Medline, Embase, CINAHL, Sociological abstracts, Cochrane Library, and Web of Science. Additional research works were included by searching bibliographies of electronically retrieved review articles. Results: Finally, 42 studies were included in the review. Five determinants of infodemics were identified: (1) information sources; (2) online communities' structure and consensus; (3) communication channels (i.e., mass media, social media, forums, and websites); (4) messages content (i.e., quality of information, sensationalism, etc.,); and (5) context (e.g., social consensus, health emergencies, public opinion, etc.). Studied selected in this systematic review identified different measures to combat misinformation during outbreaks. Conclusion: The clarity of the health promotion messages has been proven essential to prevent the spread of a particular disease and to avoid potential risks, but it is also fundamental to understand the network structure of social media platforms and the emergency context where misinformation might dynamically evolve. Therefore, in order to prevent future infodemics, special attention will need to be paid both to increase the visibility of evidence-based knowledge generated by health organizations and academia, and to detect the possible sources of mis/disinformation.JA-G was subsidized by the Ramon & Cajal research programme operated by the Ministry of Economy and Business (RYC-2016-19353), and the European Social Fund

Helping Fact-Checkers Identify Fake News Stories Shared through Images on WhatsApp

WhatsApp has introduced a novel avenue for smartphone users to engage with and disseminate news stories. The convenience of forming interest-based groups and seamlessly sharing content has rendered WhatsApp susceptible to the exploitation of misinformation campaigns. While the process of fact-checking remains a potent tool in identifying fabricated news, its efficacy falters in the face of the unprecedented deluge of information generated on the Internet today. In this work, we explore automatic ranking-based strategies to propose a "fakeness score" model as a means to help fact-checking agencies identify fake news stories shared through images on WhatsApp. Based on the results, we design a tool and integrate it into a real system that has been used extensively for monitoring content during the 2018 Brazilian general election. Our experimental evaluation shows that this tool can reduce by up to 40% the amount of effort required to identify 80% of the fake news in the data when compared to current mechanisms practiced by the fact-checking agencies for the selection of news stories to be checked.Comment: This is a preprint version of an accepted manuscript on the Brazilian Symposium on Multimedia and the Web (WebMedia). Please, consider to cite it instead of this on

Populist Disinformation: Exploring Intersections between Online Populism and Disinformation in the US and the Netherlands

The discursive construction of a populist divide between the ‘good’ people and ‘corrupt’ elites can conceptually be linked to disinformation. More specifically, (right-wing) populists are not only attributing blame to the political elites, but increasingly vent anti-media sentiments in which the mainstream press is scapegoated for not representing the people. In an era of post-truth relativism, ‘fake news’ is increasingly politicized and used as a label to delegitimize political opponents or the press. To better understand the affinity between disinformation and populism, this article conceptualizes two relationships between these concepts: (1) blame attributions to the dishonest media as part of the corrupt elites that mislead the people; and (2) the expression of populist boundaries in a people-centric, anti-expert, and evidence-free way. The results of a comparative qualitative content analysis in the US and Netherlands indicate that the political leaders Donald Trump and Geert Wilders blame legacy media in populist ways by regarding them as part of the corrupt and lying establishment. Compared to left-wing populist and mainstream politicians, these politicians are the most central players in the discursive construction of populist disinformation. Both politicians bypassed empirical evidence and expert knowledge whilst prioritizing the people’s truth and common sense at the center stage of honesty and reality. These expressions resonated with public opinion on Facebook, although citizens were more likely to frame mis- and disinformation in terms of ideological cleavages. These findings have important implications for our understanding of the role of populist discourse in a post-factual era

Glu: An Online Type 1 Diabetes Information Community

This research paper examines the online health community Glu (MyGlu.org), a type 1 diabetes social media site. Type 1 diabetes is a chronic medical condition that requires constant and specialized medical attention. Online health communities like Glu, are an important part of maintaining a healthy lifestyle for many of its members. This study discusses the composition of this information community, the motivations of its members, and the benefits members gain through their participation. It describes the major characteristics of the community and focuses on the information needs of type 1 diabetics. It concludes with reflections on how libraries and LIS professionals can better serve the information needs of health communities like Glu and accommodate their needs in the physical space of the library

Information and Design: Book Symposium on Luciano Floridi’s The Logic of Information

Purpose – To review and discuss Luciano Floridi’s 2019 book The Logic of Information: A Theory of Philosophy as Conceptual Design, the latest instalment in his philosophy of information (PI) tetralogy, particularly with respect to its implications for library and information studies (LIS). Design/methodology/approach – Nine scholars with research interests in philosophy and LIS read and responded to the book, raising critical and heuristic questions in the spirit of scholarly dialogue. Floridi responded to these questions. Findings – Floridi’s PI, including this latest publication, is of interest to LIS scholars, and much insight can be gained by exploring this connection. It seems also that LIS has the potential to contribute to PI’s further development in some respects. Research implications – Floridi’s PI work is technical philosophy for which many LIS scholars do not have the training or patience to engage with, yet doing so is rewarding. This suggests a role for translational work between philosophy and LIS. Originality/value – The book symposium format, not yet seen in LIS, provides forum for sustained, multifaceted and generative dialogue around ideas