Analyzing text message linguistic features: Do people with depression communicate differently with their close and non-close contacts?

J Meyerhoff, T Liu, CA Stamatis, T Liu, H Wang… - Behaviour research and …, 2023‏ - Elsevier
Background Relatively little is known about how communication changes as a function of
depression severity and interpersonal closeness. We examined the linguistic features of …

AI can help people feel heard, but an AI label diminishes this impact

Y Yin, N Jia, CJ Wakslak - Proceedings of the National Academy of …, 2024‏ - pnas.org
People want to “feel heard” to perceive that they are understood, validated, and valued. Can
AI serve the deeply human function of making others feel heard? Our research addresses …

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods

K Jaidka, S Giorgi, HA Schwartz, ML Kern… - Proceedings of the …, 2020‏ - pnas.org
Researchers and policy makers worldwide are interested in measuring the subjective well-
being of populations. When users post on social media, they leave behind digital traces that …

Towards mutual theory of mind in human-ai interaction: How language reflects what students perceive about a virtual teaching assistant

Q Wang, K Saha, E Gregori, D Joyner… - Proceedings of the 2021 …, 2021‏ - dl.acm.org
Building conversational agents that can conduct natural and prolonged conversations has
been a major technical and design challenge, especially for community-facing …

Understanding and measuring psychological stress using social media

SC Guntuku, A Buffone, K Jaidka… - Proceedings of the …, 2019‏ - ojs.aaai.org
A body of literature has demonstrated that users' mental health conditions, such as
depression and anxiety, can be predicted from their social media language. There is still a …

Brevity is the soul of Twitter: The constraint affordance and political discussion

K Jaidka, A Zhou, Y Lelkes - Journal of Communication, 2019‏ - academic.oup.com
Many hoped that social networking sites would allow for the open exchange of information
and a revival of the public sphere. Unfortunately, conversations on social media are often …

[HTML][HTML] Fancy avatar identification and behaviors in the virtual world: Preceding avatar customization and succeeding communication

M Takano, F Taka - Computers in Human Behavior Reports, 2022‏ - Elsevier
Avatar communication, which provides a wealth of emotional expressions under anonymity,
can effectively compensate for a lack of social resources in real life. It enables players to …

What twitter profile and posted images reveal about depression and anxiety

SC Guntuku, D Preotiuc-Pietro, JC Eichstaedt… - Proceedings of the …, 2019‏ - aaai.org
Previous work has found strong links between the choice of social media images and users'
emotions, demographics and personality traits. In this study, we examine which attributes of …

[HTML][HTML] Age and gender in language, emoji, and emoticon usage in instant messages

TK Koch, P Romero, C Stachl - Computers in Human Behavior, 2022‏ - Elsevier
Text is one of the most prevalent types of digital data that people create as they go about
their lives. Digital footprints of people's language usage in social media posts were found to …

Studying expressions of loneliness in individuals using twitter: an observational study

SC Guntuku, R Schneider, A Pelullo, J Young… - BMJ open, 2019‏ - bmjopen.bmj.com
Objectives Loneliness is a major public health problem and an estimated 17% of adults
aged 18–70 in the USA reported being lonely. We sought to characterise the (online) lives of …