Taking the lead in misinformation-related conversations in social media networks during a mass shooting crisis

Lee, Ji-Young; Britt, Brian C.; Kanthawala, Shaheen

doi:10.1108/intr-02-2021-0120

Cited by 12 publications

(6 citation statements)

References 39 publications

(65 reference statements)

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“…Social media platforms as passive sensors have been also used to study social phenomena. Examples include well-being understanding [ 24 ], workspace performance [ 7 ], understanding of human–environment interactions [ 25 ], human pattern identification [ 26 ], human mobility [ 27 ], air quality monitoring [ 28 ], student stress monitoring [ 29 ], and misinformation spread during crisis [ 30 ].…”

Section: Background and Related Workmentioning

confidence: 99%

X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community Engagement

Furini

2024

Sensors

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The identification of opinion leaders is a matter of great significance for companies and authorities, as these individuals are able to shape the opinions and attitudes of entire societies. In this paper, we consider X (formerly Twitter) as a passive sensor to identify opinion leaders. Given the unreliability of the traditional follower count metric due to the presence of fake accounts and farm bots, our approach combines the measures of visibility and community engagement to identify these influential individuals. Through an experimental evaluation involving approximately 4 million tweets, we showed two important findings: (i) relying solely on follower count or post frequency is inadequate for accurately identifying opinion leaders, (ii) opinion leaders are able to build community and gain visibility around specific themes. The results showed the benefits of using X as a passive sensor to identify opinion leaders, as the proposed method offers substantial advantages for those who are involved in social media communication strategies, including political campaigns, brand monitoring, and policymaking.

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Section: Background and Related Workmentioning

confidence: 99%

X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community Engagement

Furini

2024

Sensors

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“…Public health community leaders, such as those who work in county public health departments, often engage in dialogic approaches to misinformation correction that emphasize relationship-building and listening to individual concerns during person-to-person conversations [ 20 ]. Relational approaches promote a shared sense of community, which may drive the efficacy of responses to misinformation and the prevention of misinformation [ 37 ].…”

Section: The State Of Misinformationmentioning

confidence: 99%

Scientists’ deficit perception of the public impedes their behavioral intentions to correct misinformation

et al. 2023

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This paper investigates the relationship between scientists’ communication experience and attitudes towards misinformation and their intention to correct misinformation. Specifically, the study focuses on two correction strategies: source-based correction and relational approaches. Source-based approaches combatting misinformation prioritize sharing accurate information from trustworthy sources to encourage audiences to trust reliable information over false information. On the other hand, relational approaches give priority to developing relationships or promoting dialogue as a means of addressing misinformation. In this study, we surveyed 416 scientists from U.S. land-grant universities using a self-report questionnaire. We find that scientists’ engagement in science communication activities is positively related to their intention to correct misinformation using both strategies. Moreover, the scientists’ attitude towards misinformation mediates the relationship between engagement in communication activities and intention to correct misinformation. The study also finds that the deficit model perception–that is, the assumption that scientists only need to transmit scientific knowledge to an ignorant public in order to increase understanding and support for science–moderates the indirect effect of engagement in science communication activities on behavioral intention to correct misinformation using relational strategies through attitude towards misinformation. Thus, the deficit model perception is a barrier to engaging in relational strategies to correct misinformation. We suggest that addressing the deficit model perception and providing science communication training that promotes inclusive worldviews and relational approaches would increase scientists’ behavioral intentions to address misinformation. The study concludes that scientists should recognize their dual positionality as scientists and members of their community and engage in respectful conversations with community members about science.

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“…Ebola and Zika virus epidemics) and political movements (i.e. UK riots, Arab Spring and 2016 US election) (Lee et al, 2022;Islam et al, 2020a, b;Malik et al, 2022). However, it has also been reported and criticized for serving as a quick source of spreading misinformation at an unprecedented level during such crises (Clark, 2020;Paul and Das, 2022).…”

Section: Literature and Hypotheses Developmentmentioning

confidence: 99%

“…Ebola and Zika virus epidemics) and political movements (i.e. UK riots, Arab Spring and 2016 US election) (Lee et al. , 2022; Islam et al.…”

Section: Literature and Hypotheses Developmentmentioning

confidence: 99%

Factors affecting misinformation combating intention in Pakistan during COVID-19

Malik

Islam

Mahmood

2022

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PurposeMisinformation on social media has become a great threat across the globe. Therefore, the authors aim to provide a comprehensive understanding of social media users' misinformation combating behavior, especially during the COVID-19 pandemic. Specifically, the authors merged the uses and gratifications theory, social cognitive theory and theory of prosocial behavior into one theoretical framework (e.g. information seeking, status seeking, entertainment and norms of reciprocity) to understand their effect on users' prosocial media sharing experience and misinformation self-efficacy to combat misinformation.Design/methodology/approachThe authors collected data from 356 social media users through “Google Forms” during the third wave of coronavirus in Pakistan. Further, the authors applied structural equation modeling for hypotheses testing.FindingsThe authors noted that entertainment and perceived norms of reciprocity positively affect social media users' prior experience and misinformation self-efficacy to enhance their misinformation combating intention. However, information seeking positively affects social media users' prior experience and insignificantly affects their misinformation self-efficacy. Similarly, status seeking was noted to be insignificantly associated with social media users' prior experience and misinformation self-efficacy.Research limitations/implicationsThe authors tested this model of misinformation combating intention in a developing country during the COVID-19 pandemic and noted that entertainment and status seeking motives are context-specific. Therefore, this study may likely benefit researchers, academicians and policymakers to understand the causal relationship between motivations and the behavior of combating misinformation on social media within a developing country.Originality/valueIn this study the authors merged three theories (e.g. uses and gratifications theory, social cognitive theory and theory of prosocial behavior) to understand information seeking, status seeking, entertainment and norms of reciprocity as the main motives for social media users' misinformation combating intention.

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Taking the lead in misinformation-related conversations in social media networks during a mass shooting crisis

Cited by 12 publications

References 39 publications

X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community Engagement

X as a Passive Sensor to Identify Opinion Leaders: A Novel Method for Balancing Visibility and Community Engagement

Scientists’ deficit perception of the public impedes their behavioral intentions to correct misinformation

Factors affecting misinformation combating intention in Pakistan during COVID-19

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