A survey on bias and fairness in machine learning
With the widespread use of artificial intelligence (AI) systems and applications in our
everyday lives, accounting for fairness has gained significant importance in designing and …
everyday lives, accounting for fairness has gained significant importance in designing and …
Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
Social media engagement: What motivates user participation and consumption on YouTube?
ML Khan - Computers in human behavior, 2017 - Elsevier
This study unearths the motives for YouTube user engagement that has been
conceptualized as active participation and passive content consumption. In light of the Uses …
conceptualized as active participation and passive content consumption. In light of the Uses …
Problematic smartphone use and relations with negative affect, fear of missing out, and fear of negative and positive evaluation
CA Wolniewicz, MF Tiamiyu, JW Weeks, JD Elhai - Psychiatry research, 2018 - Elsevier
For many individuals, excessive smartphone use interferes with everyday life. In the present
study, we recruited a non-clinical sample of 296 participants for a cross-sectional survey of …
study, we recruited a non-clinical sample of 296 participants for a cross-sectional survey of …
Social media engagement behaviour: a uses and gratifications perspective
The proliferation of social media platforms and corresponding consumer adoption in recent
years has precipitated a paradigm shift, significantly altering the ways customers engage …
years has precipitated a paradigm shift, significantly altering the ways customers engage …
Potential biases in big data: Omitted voices on social media
E Hargittai - Social science computer review, 2020 - journals.sagepub.com
While big data offer exciting opportunities to address questions about social behavior,
studies must not abandon traditionally important considerations of social science research …
studies must not abandon traditionally important considerations of social science research …
Why do college students prefer Facebook, Twitter, or Instagram? Site affordances, tensions between privacy and self-expression, and implications for social capital
Whereas the bulk of research on social media has taken a granular approach, targeting
specific behaviors on one site, or to a lesser extent, multiple sites, the current study aimed to …
specific behaviors on one site, or to a lesser extent, multiple sites, the current study aimed to …
Digital inequalities in the age of artificial intelligence and big data
C Lutz - Human Behavior and Emerging Technologies, 2019 - Wiley Online Library
In this literature review, I summarize key concepts and findings from the rich academic
literature on digital inequalities. I propose that digital inequalities research should look more …
literature on digital inequalities. I propose that digital inequalities research should look more …
Facebook use, envy, and depression among college students: Is facebooking depressing?
It is not—unless it triggers feelings of envy. This study uses the framework of social rank
theory of depression and conceptualizes Facebook envy as a possible link between …
theory of depression and conceptualizes Facebook envy as a possible link between …
The uses and abuses of Facebook: A review of Facebook addiction
Background and aims Recent research suggests that use of social networking sites can be
addictive for some individuals. Due to the link between motivations for media use and the …
addictive for some individuals. Due to the link between motivations for media use and the …