Have we controlled properly? Problems with and recommendations for the use of control variables in information systems research
Statistical controls can ensure accurate estimates of causal effects in the evaluation of
alternative explanations. However, the research method literature has raised concerns …
alternative explanations. However, the research method literature has raised concerns …
Fake news in business and management literature: a systematic review of definitions, theories, methods and implications
Purpose 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 …
fake news research and to advance the socio-technical understanding of digital information …
I'ma believer! Believability of social media marketing
Many firms use social media marketing and implement different message frames as a
strategy to persuade consumers, enhance engagement, and to purchase their products …
strategy to persuade consumers, enhance engagement, and to purchase their products …
System impacts of wind energy developments: Key research challenges and opportunities
Wind power accounted for 8% of global electricity generation in 2023 and is one of the
cheapest forms of low-carbon electricity. Although fully commercial, many challenges remain …
cheapest forms of low-carbon electricity. Although fully commercial, many challenges remain …
Examining the motivations of sharing political deepfake videos: the role of political brand hate and moral consciousness
Purpose Deepfakes are fabricated content created by replacing an original image or video
with someone else. Deepfakes have recently become commonplace in politics, posing …
with someone else. Deepfakes have recently become commonplace in politics, posing …
f-FNC: Privacy concerned efficient federated approach for fake news classification
Fake news and manipulated information affect the social, economic and emotional growth of
the world's population. For the identification of fake news, several classification systems are …
the world's population. For the identification of fake news, several classification systems are …
Why do people spread fake news? Modelling the factors that influence social media users' fake news sharing behaviour
Y An, Y Huang, NU Danjuma… - Information …, 2023 - journals.sagepub.com
This study modelled the factors that influence fake news spreading behaviour among social
media users. To gather our data, we used an online survey to sample 385 social media …
media users. To gather our data, we used an online survey to sample 385 social media …
Leveraging transfer learning for detecting misinformation on social media
Misinformation is a pervasive problem on social media platforms, with the potential to cause
harm to individuals and society as a whole. Many computational techniques have been …
harm to individuals and society as a whole. Many computational techniques have been …
Towards Fair Graph Anomaly Detection: Problem, New Datasets, and Evaluation
The Fair Graph Anomaly Detection (FairGAD) problem aims to accurately detect anomalous
nodes in an input graph while ensuring fairness and avoiding biased predictions against …
nodes in an input graph while ensuring fairness and avoiding biased predictions against …
Do you believe it? Examining user engagement with fake news on social media platforms
The proliferation of fake news on social media platforms makes it necessary to investigate
how news content and user comments can influence user engagement. This study analyzes …
how news content and user comments can influence user engagement. This study analyzes …