Using social media for mental health surveillance: a review

R Skaik, D Inkpen - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Data on social media contain a wealth of user information. Big data research of social media
data may also support standard surveillance approaches and provide decision-makers with …

Exploring gender biases in ML and AI academic research through systematic literature review

S Shrestha, S Das - Frontiers in artificial intelligence, 2022 - frontiersin.org
Automated systems that implement Machine learning (ML) and Artificial Intelligence (AI)
algorithms present promising solutions to a variety of technological and non-technological …

Global evidence of expressed sentiment alterations during the COVID-19 pandemic

J Wang, Y Fan, J Palacios, Y Chai… - Nature Human …, 2022 - nature.com
The COVID-19 pandemic has created unprecedented burdens on people's physical health
and subjective well-being. While countries worldwide have developed platforms to track the …

Birds of a feather don't fact-check each other: Partisanship and the evaluation of news in Twitter's Birdwatch crowdsourced fact-checking program

J Allen, C Martel, DG Rand - Proceedings of the 2022 CHI conference on …, 2022 - dl.acm.org
There is a great deal of interest in the role that partisanship, and cross-party animosity in
particular, plays in interactions on social media. Most prior research, however, must infer …

Name-based demographic inference and the unequal distribution of misrecognition

JW Lockhart, MM King, C Munsch - Nature Human Behaviour, 2023 - nature.com
Academics and companies increasingly draw on large datasets to understand the social
world, and name-based demographic ascription tools are widespread for imputing …

[HTML][HTML] Monitoring depression trends on Twitter during the COVID-19 pandemic: observational study

Y Zhang, H Lyu, Y Liu, X Zhang, Y Wang… - JMIR …, 2021 - infodemiology.jmir.org
Background The COVID-19 pandemic has affected people's daily lives and has caused
economic loss worldwide. Anecdotal evidence suggests that the pandemic has increased …

Affinity profiling and discrimination by association in online behavioral advertising

S Wachter - Berkeley Technology Law Journal, 2020 - JSTOR
Affinity profiling—grou** people according to their assumed interests rather than solely
their personal traits—has become commonplace in the online advertising industry. Online …

[LIBRO][B] Researching language and social media: A student guide

R Page, D Barton, C Lee, JW Unger, M Zappavigna - 2022 - taylorfrancis.com
Researching Language and Social Media: A Student Guide introduces the linguistic
frameworks currently used to analyse language found in social media contexts. This highly …

The ivory tower lost: How college students respond differently than the general public to the COVID-19 pandemic

V Duong, J Luo, P Pham, T Yang… - 2020 IEEE/ACM …, 2020 - ieeexplore.ieee.org
In the United States, the country with the highest confirmed COVID-19 infection cases, a
nationwide social distancing protocol has been implemented by the President. Following the …

A total error framework for digital traces of human behavior on online platforms

I Sen, F Flöck, K Weller, B Weiß… - Public Opinion …, 2021 - academic.oup.com
People's activities and opinions recorded as digital traces online, especially on social media
and other web-based platforms, offer increasingly informative pictures of the public. They …