TY - JOUR
T1 - Why do we not stand up to misinformation?
T2 - Factors influencing the likelihood of challenging misinformation on social media and the role of demographics
AU - Gurgun, Selin
AU - Cemiloglu, Deniz
AU - Close, Emily Arden
AU - Phalp, Keith
AU - Nakov, Preslav
AU - Ali, Raian
N1 - Publisher Copyright:
© 2023 The Authors
PY - 2024/3
Y1 - 2024/3
N2 - This study investigates the barriers to challenging others who post misinformation on social media platforms. We conducted a survey amongst U.K. Facebook users (143 (57.2 %) women, 104 (41.6 %) men) to assess the extent to which the barriers to correcting others, as identified in literature across disciplines, apply to correcting misinformation on social media. We also group the barriers into factors and explore demographic differences amongst them. It has been suggested that users are generally hesitant to challenge misinformation. We found that most of our participants (58.8 %) were reluctant to challenge misinformation. We also identified moderating roles of age and gender in the likelihood of challenging misinformation. Older people were more likely to challenge misinformation compared to young adults while, men demonstrated a slightly greater likelihood to challenge compared to women. The 20 barriers influencing the decision to challenge misinformation, were then grouped into four main factors: social concerns, effort/interest considerations, prosocial intents, and contentrelated factors. We found that, controlling for age and gender, "social concerns" and "effort/interest considerations" have the significant impact on likelihood to challenge. Identified four factors were analysed in terms of demographic differences. Men ranked "effort/interest considerations" higher than women, while women placed higher importance on "content-related factors". Moreover, older individuals were found to be more resilient to "social concerns". The influence of educational background was most prominent in ranking "content-related factors". Our findings provide important insights for the design of future interventions aimed at encouraging the challenging of misinformation on social media platforms, highlighting the need for tailored, demographically sensitive approaches.
AB - This study investigates the barriers to challenging others who post misinformation on social media platforms. We conducted a survey amongst U.K. Facebook users (143 (57.2 %) women, 104 (41.6 %) men) to assess the extent to which the barriers to correcting others, as identified in literature across disciplines, apply to correcting misinformation on social media. We also group the barriers into factors and explore demographic differences amongst them. It has been suggested that users are generally hesitant to challenge misinformation. We found that most of our participants (58.8 %) were reluctant to challenge misinformation. We also identified moderating roles of age and gender in the likelihood of challenging misinformation. Older people were more likely to challenge misinformation compared to young adults while, men demonstrated a slightly greater likelihood to challenge compared to women. The 20 barriers influencing the decision to challenge misinformation, were then grouped into four main factors: social concerns, effort/interest considerations, prosocial intents, and contentrelated factors. We found that, controlling for age and gender, "social concerns" and "effort/interest considerations" have the significant impact on likelihood to challenge. Identified four factors were analysed in terms of demographic differences. Men ranked "effort/interest considerations" higher than women, while women placed higher importance on "content-related factors". Moreover, older individuals were found to be more resilient to "social concerns". The influence of educational background was most prominent in ranking "content-related factors". Our findings provide important insights for the design of future interventions aimed at encouraging the challenging of misinformation on social media platforms, highlighting the need for tailored, demographically sensitive approaches.
KW - Fake news
KW - Human factors
KW - Misinformation
KW - Online silence
KW - Social factors
KW - Social media
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=hbku_researchportal&SrcAuth=WosAPI&KeyUT=WOS:001139827200001&DestLinkType=FullRecord&DestApp=WOS_CPL
U2 - 10.1016/j.techsoc.2023.102444
DO - 10.1016/j.techsoc.2023.102444
M3 - Article
SN - 0160-791X
VL - 76
JO - Technology in Society
JF - Technology in Society
M1 - 102444
ER -