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This paper seeks to disambiguate the phenomenon by clarifying terms, highlighting current efforts, including the importance of critical thought and awareness, and a test for genuine serendipity.

The authors review the literature, primarily from a library and information science perspective, and arrive at a theoretical framework and model.

The authors find various initiatives to fight fake news. Building upon Karlova and Fisher's (2013) model as well as research on critical thinking and serendipity, the primary contribution of the paper is a disinformation behavior framework and model. The model includes both the problem of disinformation from a creator and user perspective, as well as the solutions to fight it.

The framework will guide practitioners and researchers in library and information science and beyond, as well as other stakeholders in both understanding the phenomenon, and leading the fight against it.

The spreading of false information has become an alarming phenomenon in the last few years, leading to the popularity of terms such as misinformation, disinformation, infodemic and fake news. While information professionals have been called upon to lead the fight against fake news, in the lack of a comprehensive understanding of the phenomenon, current efforts have been isolated and inadequate. Most models of information behavior deal with information, and not misinformation or disinformation per se.

The purpose of this study is to explore the evolutionary path and stable strategy for the competitive dissemination between disinformation and knowledge on social media to provide effective solutions to curb the dissemination of disinformation and promote the spread of knowledge.

Based on the social capital (SC) theory, the benefit matrix is constructed and an evolutional game model is established in this paper. Through model solving and Matrix Laboratory (MATLAB) simulation, the factors that influence disinformation-believing users (DUs) and knowledge-believing users (KUs) to choose different strategies are analyzed.

The initial dissemination willingness, the disinformation infection probability, the knowledge infection probability and the knowledge penetration probability are proved to be crucial factors influencing the game equilibrium in the competitive dissemination process of disinformation and knowledge. Moreover, some countermeasures and recommendations for the governance of disinformation are proposed.

Currently most research interest lies in the disinformation dissemination model but ignores the interaction between disinformation and knowledge in the diffusion process. This study reveals the dynamic mechanism of social media users disseminating disinformation and knowledge and is expected to promote the formation of cleaner cyberspace.

The study aims to investigate the predictors of engaging in combat against the spread of misinformation and disinformation online, and of actively sharing disinformation by users. The study advances an understanding of user active engagement with disinformation as political participation, especially linked to violent activism, in alignment with the view of disinformation as political weapon.

A survey of 502 Israeli internet users inquired into respondents' political participation, trust and orientation, definitions and perceptions of “Fake News,” and previous engagement in sharing misinformation disinformation items, combating or intention to combat against the spread of disinformation.

In addition to identifying predictors for each practice, the findings indicate that sharing and combating against disinformation are closely linked. They are also all directly linked to political participation of various kinds. Most interestingly, working for a political party significantly correlates with knowingly sharing disinformation items, and participating in illegal or violent political activities significantly correlates with knowingly sharing and actively participating in combat against disinformation.

The spread of disinformation online and its implications has received much scholarly as well as public attention in recent years. However, the characteristics of individual users who share or combat against the spread of disinformation online, as forms of political participation, have not been examined. This study fills this gap by inquiring into such practices and the behaviors, perceptions and demographics that predict them.

Disinformation, false information designed with the intention to mislead, can significantly damage organizational operation and reputation, interfering with communication and relationship management in a wide breadth of risk and crisis contexts. Modern digital platforms and emerging technologies, including artificial intelligence (AI), introduce novel risks in crisis management (Guthrie and Rich, 2022). Disinformation literature in security and computer science has assessed how previously introduced technologies have affected disinformation, demanding a systematic and coordinated approach for sustainable counter-disinformation efforts. However, there is a lack of theory-driven, evidence-based research and practice in public relations that advises how organizations can effectively and proactively manage risks and crises driven by AI (Guthrie and Rich, 2022).

As a first step in closing this research-practice gap, the authors first synthesize theoretical and technical literature characterizing the effects of AI on disinformation. Upon this review, the authors propose a conceptual framework for disinformation response in the corporate sector that assesses (1) technologies affecting disinformation attacks and counterattacks and (2) how organizations can proactively prepare and equip communication teams to better protect businesses and stakeholders.

This research illustrates that future disinformation response efforts will not be able to rely solely on detection strategies, as AI-created content quality becomes more and more convincing (and ultimately, indistinguishable), and that future disinformation management efforts will need to rely on content influence rather than volume (due to emerging capabilities for automated production of disinformation). Built upon these fundamental, literature-driven characteristics, the framework provides organizations actor-level and content-level perspectives for influence and discusses their implications for disinformation management.

This research provides a theoretical basis and practitioner insights by anticipating how AI technologies will impact corporate disinformation attacks and outlining how companies can respond. The proposed framework provides a theory-driven, practical approach for effective, proactive disinformation management systems with the capacity and agility to detect risks and mitigate crises driven by evolving AI technologies. Together, this framework and the discussed strategies offer great value to forward-looking disinformation management efforts. Subsequent research can build upon this framework as AI technologies are deployed in disinformation campaigns, and practitioners can leverage this framework in the development of counter-disinformation efforts.

This paper aims to conduct an interdisciplinary systematic literature review (SLR) of fake news research and to advance the socio-technical understanding of digital information practices and platforms in business and management studies.

The paper applies a focused, SLR method to analyze articles on fake news in business and management journals from 2010 to 2020.

The paper analyzes the definition, theoretical frameworks, methods and research gaps of fake news in the business and management domains. It also identifies some promising research opportunities for future scholars.

The paper offers practical implications for various stakeholders who are affected by or involved in fake news dissemination, such as brands, consumers and policymakers. It provides recommendations to cope with the challenges and risks of fake news.

The paper discusses the social consequences and future threats of fake news, especially in relation to social networking and social media. It calls for more awareness and responsibility from online communities to prevent and combat fake news.

The paper contributes to the literature on information management by showing the importance and consequences of fake news sharing for societies. It is among the frontier systematic reviews in the field that covers studies from different disciplines and focuses on business and management studies.

Social media is becoming a hub of fake content, be it political news, product reviews, business promotion or any other sociocultural event. This study aims to provide a comprehensive review of the emerging literature to advance an understanding of misinformation on social media platforms, which is a growing concern these days.

The authors curate and synthesize the dispersed knowledge about misinformation on social media by conducting a systematic literature review based on the preferred reporting items for systematic reviews and meta-analyses framework. The search strategy resulted in 446 research articles, out of which 33 relevant articles were identified for this research.

Misinformation on social media spreads swiftly and may result in negative consequences. This review identifies 13 intrinsic predictors of the dissemination, 11 detection approaches and 10 ways to combat misinformation on social media.

The study adds to the present knowledge of spread and detection of misinformation on social media. The results of this study will be beneficial for researchers and practitioners and help them in mitigating the harmful consequences of the spread of misinformation.

This paper aims to explore the determinants causing fake information proliferation on social media platforms and the challenges to control the diffusion of fake news phenomena.

The authors applied the systematic review methodology to conduct a synthetic analysis of 37 articles published in peer-reviewed journals retrieved from 13 scholarly databases.

The findings of the study displayed that dissatisfaction, behavior modifications, trending practices to viral fake stories, natural inclination toward negativity and political purposes were the key determinants that led individuals to believe in fake news shared on digital media. The study also identified challenges being faced by people to control the spread of fake news on social networking websites. Key challenges included individual autonomy, the fast-paced social media ecosystem, fake accounts on social media, cutting-edge technologies, disparities and lack of media literacy.

The study has theoretical contributions through valuable addition to the body of existing literature and practical implications for policymakers to construct such policies that might prove successful antidote to stop the fake news cancer spreading everywhere via digital media. The study has also offered a framework to stop the diffusion of fake news.

A wide choice of varied information and data-based tools is reviewed in order to determine their ability treating symptoms of the COVID-19 infodemic. Several literacies and derived literacies, presumably having the ability to fulfil these roles are enumerated. There is also a review of the impact of applying deconstruction, understanding, and anticipation as well as of tools for mitigating overload phenomena, and communication overload.

The article reviews literacies deemed to promise reducing the impact of the information crisis, caused by the COVID-19 pandemic.

A non-exhaustive review of literature, taken from sources of varied disciplines, resulting from reverse snowballing and forward citation mining confirmed that there is a wide choice of solutions from among literacies, derived literacies and other approaches that have the potential to combat annoyance and anxiety, caused by the infodemic.

No other, published research has looked at such a wide range of literacies and derived literacies, as well as other, related approaches linked them to the COVID-19 infodemic.