Towards dissemination, detection and combating misinformation on social media: a literature review

Kaur, Kulvinder Kochar; Gupta, Samrat

doi:10.1108/jbim-02-2022-0066

Cited by 8 publications

(2 citation statements)

References 87 publications

(124 reference statements)

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“…They revealed that a positive and significant association was consistently found in relation to problematic Facebook use (PFU), but the consistency varied when all social media platforms were treated as one category. Within the realm of marketing research, Kaur and Gupta (2023) gathered scattered findings in studies concerning misinformation on social media through a systematic literature review and offered insights into the factors influencing the spread of misinformation on social media, as well as strategies for detection and mitigation. In the domain of epidemiology, Tang et al (2018) reviewed research pertaining to emerging infectious diseases (EIDs) and social media, and revealed that while the volume of studies on the topic is increasing, there is still a need to enhance theoretical underpinnings and address methodological shortcomings.…”

Section: Literature Reviewmentioning

confidence: 99%

An examination of existing research on academic libraries and the social web

Choi

2024

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PurposeThe purpose of this study is to examine research on academic libraries and the social web published from July 1, 2019, to June 30, 2023.Design/methodology/approachThe article search and filtering procedures mirrored those of Choi and Harper (2020) and Carlsson (2015), resulting in a total sample size of 93 articles. These articles underwent examination based on the same eight variables (i.e. journal outlet, research theme, publication year, social web type, method, keyword, study participant type and study country) as employed by Choi and Harper (2020) and Carlsson (2015), with the addition of two new variables (i.e. research purpose and the impact of COVID-19).FindingsThe research article volume has consistently maintained a stable trend. A notable difference from Choi and Harper (2020) and Carlsson (2015) is the rise of “user perspectives” as the second most prevalent theme. Unlike Choi and Harper (2020), the “survey” method is predominant. Many research purposes, excluding “marketing and promotion,” lack attention. Additionally, there’s a dearth of studies on the impact of COVID-19.Research limitations/implicationsThe findings from the study not only offer a snapshot of the current research landscape on academic libraries and their engagement with the social web but also offer insights for future scholarly endeavors.Originality/valueThere is a limited effort in exploring the recent literature regarding the role of the social web in academic libraries. This study serves as a valuable guide for contributing to this dynamic research stream and provides various up-to-date implications.

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Section: Literature Reviewmentioning

confidence: 99%

An examination of existing research on academic libraries and the social web

Choi

2024

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“…In the same study, the authors likewise observed misinformation to be most prevalent on social networking website Twitter-the platform where data for our study originated; however, all commonly used social networking websites are also prone to misinformation risk. Recommendations to counter misinformation risk on social media are mixed [46][47][48]. However, previous research suggests that to address misinformation effectively, all angles of misinformation risk and spread must be considered, including message-related, source-related, receiver-related, and context-related factors [49].…”

Section: Beyond Our Findings: Recommendations For Social Media Survei...mentioning

confidence: 99%

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Edinger¹,

Valdez²,

Walsh‐Buhi³

et al. 2023

J Med Internet Res

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Background Shortly after the worst of the COVID-19 pandemic, an outbreak of mpox introduced another critical public health emergency. Like the COVID-19 pandemic, the mpox outbreak was characterized by a rising prevalence of public health misinformation on social media, through which many US adults receive and engage with news. Digital misinformation continues to challenge the efforts of public health officials in providing accurate and timely information to the public. We examine the evolving topic distributions of social media narratives during the mpox outbreak to map the tension between rapidly diffusing misinformation and public health communication. Objective This study aims to observe topical themes occurring in a large-scale collection of tweets about mpox using deep learning. Methods We leveraged a data set comprised of all mpox-related tweets that were posted between May 7, 2022, and July 23, 2022. We then applied Sentence Bidirectional Encoder Representations From Transformers (S-BERT) to the content of each tweet to generate a representation of its content in high-dimensional vector space, where semantically similar tweets will be located closely together. We projected the set of tweet embeddings to a 2D map by applying principal component analysis and Uniform Manifold Approximation Projection (UMAP). Finally, we group these data points into 7 topical clusters using k-means clustering and analyze each cluster to determine its dominant topics. We analyze the prevalence of each cluster over time to evaluate longitudinal thematic changes. Results Our deep-learning pipeline revealed 7 distinct clusters of content: (1) cynicism, (2) exasperation, (3) COVID-19, (4) men who have sex with men, (5) case reports, (6) vaccination, and (7) World Health Organization (WHO). Clusters that largely communicated erroneous or irrelevant information began earlier and grew faster, reaching a wider audience than later communications by official instances and health officials. Conclusions Within a few weeks of the first reported mpox cases, an avalanche of mostly false, misleading, irrelevant, or damaging information started to circulate on social media. Official institutions, including the WHO, acted promptly, providing case reports and accurate information within weeks, but were overshadowed by rapidly spreading social media chatter. Our results point to the need for real-time monitoring of social media content to optimize responses to public health emergencies.

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