A5057029055- Digital Mental Health Interventions
- Mental Health via Writing
- Mental Health Research Topics
- Impact of Technology on Adolescents
- Hate Speech and Cyberbullying Detection
- Social Media and Politics
- Behavioral Health and Interventions
- Misinformation and Its Impacts
- Digital Marketing and Social Media
- Complex Network Analysis Techniques
- Personal Information Management and User Behavior
- Technology Adoption and User Behaviour
- Mobile Crowdsensing and Crowdsourcing
- Mobile Health and mHealth Applications
- Spam and Phishing Detection
- Topic Modeling
- Gender, Feminism, and Media
- Context-Aware Activity Recognition Systems
- Artificial Intelligence in Healthcare and Education
- Human Mobility and Location-Based Analysis
- Nutritional Studies and Diet
- COVID-19 and Mental Health
- Sentiment Analysis and Opinion Mining
- Ethics and Social Impacts of AI
- Vaccine Coverage and Hesitancy
University of Illinois Urbana-Champaign
2023-2025
Georgia Institute of Technology
2017-2024
Microsoft Research (United Kingdom)
2021-2024
University of California, Irvine
2024
Microsoft (Canada)
2021-2023
Microsoft Research Montréal (Canada)
2021-2023
Microsoft (United States)
2023
Purdue University West Lafayette
2023
RIKEN Center for Advanced Intelligence Project
2023
Mongolia International University
2023
The COVID-19 pandemic has caused several disruptions in personal and collective lives worldwide. uncertainties surrounding the have also led to multifaceted mental health concerns, which can be exacerbated with precautionary measures such as social distancing self-quarantining, well societal impacts economic downturn job loss. Despite noting this a "mental tsunami", psychological effects of crisis remain unexplored at scale. Consequently, public stakeholders are currently limited identifying...
Hateful speech bears negative repercussions and is particularly damaging in college communities. The efforts to regulate hateful on campuses pose vexing socio-political problems, the interventions mitigate effects require evaluating pervasiveness of phenomenon as well impacts students' psychological state.Given growing use social media among students, we target above issues by studying online aspect a dataset 6 million Reddit comments shared 174 To quantify prevelence an community, devise...
Stress constitutes a persistent wellbeing challenge to college students, impacting their personal, social, and academic life. However, violent events on campuses may aggravate student stress, due the induced fear trauma. In this paper, leveraging social media as passive sensor of we propose novel computational techniques quantify examine stress responses after gun violence campuses. We first present machine learning classifier for inferring expression in Reddit posts, which achieves an...
Understanding the effects of psychiatric medications during mental health treatment constitutes an active area inquiry. While clinical trials help evaluate these medications, many suffer from a lack generalizability to broader populations. We leverage social media data examine psychopathological subject self-reported usage medication. Using list common approved and regulated drugs Twitter dataset 300M posts 30K individuals, we develop machine learning models first assess relating mood,...
LGBTQ+ (lesbian, gay, bisexual, transgender, queer) individuals are at significantly higher risk for mental health challenges than the general population. Social media and online communities provide avenues to have safe, candid, semi-anonymous discussions about their struggles experiences. We study minority stress through language of disclosures self-experiences on r/lgbt Reddit community. Drawing Meyer's theory, adopting a combined qualitative computational approach, we make three primary...
Mental health issues, which can be difficult to diagnose, are a growing concern worldwide. For effective care and support, early detection of mood-related concerns is paramount importance. Typically, survey based instruments including Ecologically Momentary Assessments (EMA) Day Reconstruction Method (DRM) the method choice for assessing mood related health. While effective, these methods require some effort thus both compliance rates as well quality responses limited. As an alternative, We...
Targeted advertising is meant to improve the efficiency of matching advertisers their customers. However, targeted can also be abused by malicious efficiently reach people susceptible false stories, stoke grievances, and incite social conflict. Since ads are not seen non-targeted non-vulnerable people, likely go unreported effects undetected. This work examines a specific case advertising, exploring extent which political from Russian Intelligence Research Agency (IRA) run prior 2016 U.S....
The Tesserae project investigates how a suite of sensors can measure workplace performance (e.g., organizational citizenship behavior), psychological traits personality, affect), and physical characteristics sleep, activity) over one year. We enrolled 757 information workers across the U.S. heart rate, activity, social context, other aspects through smartwatches, phone agent, beacons, media. report challenges that we faced with enrollment, privacy, incentive structures while setting up such...
Social media data like that from Twitter can offer new information about how groups of people perceive their medications, share benefits, and report side effects.
Building conversational agents that can conduct natural and prolonged conversations has been a major technical design challenge, especially for community-facing agents. We posit Mutual Theory of Mind as theoretical framework to long-term human-AI interactions. From this perspective, we explore community's perception question-answering agent through self-reported surveys computational linguistic approach in the context online education. first examine temporal changes students' Jill Watson...
Explainable AI (XAI) systems are sociotechnical in nature; thus, they subject to the gap--divide between technical affordances and social needs. However, charting this gap is challenging. In context of XAI, we argue that improves our problem understanding, which can reflexively provide actionable insights improve explainability. Utilizing two case studies distinct domains, empirically derive a framework facilitates systematic by connecting guidelines XAI elucidating how use them address gap....
Active and passive sensing technologies are providing powerful mechanisms to track, model, understand a range of health behaviors well-being states. Despite yielding rich, dense high fidelity data, current often require highly engineered study designs persistent participant compliance, making them difficult scale large populations data acquisition tasks spanning extended time periods. This paper situates social media as new passive, unobtrusive technology. We propose semi-supervised machine...
Assessing performance in the workplace typically relies on subjective evaluations, such as, peer ratings, supervisor ratings and self assessments, which are manual, burdensome potentially biased. We use objective mobile sensing data from phones, wearables beacons to study offer new insights into behavioral patterns that distinguish higher lower performers when considering roles companies (i.e., supervisors non-supervisors) different types of high tech consultancy). present initial results an...
Background Antidepressants are known to show heterogeneous effects across individuals and conditions, posing challenges understanding their efficacy in mental health treatment. Social media platforms enable share day-to-day concerns with others thereby can function as unobtrusive, large-scale, naturalistic data sources study the longitudinal behavior of taking antidepressants. Objective We aim understand side antidepressants from expressions on social media. Methods On a large-scale Twitter...
Abstract The mental health of college students is a growing concern, and gauging the needs difficult to assess in real-time scale. To address this gap, researchers practitioners have encouraged use passive technologies. Social media one such "passive sensor" that has shown potential as viable health. However, construct validity in-practice reliability computational assessments constructs with social data remain largely unexplored. Towards goal, we study how assessing using correspond...
Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A hopeful application of these is they help businesses workers optimize productivity wellbeing. However, given inherent structural power dynamics workplace, prevalent approach accepting tacit compliance monitor work rather than seeking workers' meaningful consent raises privacy ethical concerns. This paper unpacks...
Student deaths on college campuses, whether brought about by a suicide or an uncontrollable incident, have serious repercussions for the mental wellbeing of students. Consequently, many campus administrators implement post-crisis intervention measures to promote student-centric health support. Information these measures, which we refer as "counseling recommendations", are often shared via electronic channels, including social media. However, current ability assess effects recommendations...
Social media serves as a platform to share thoughts and connect with others. The ubiquitous use of social also enables researchers study human behavior the data can be collected in an inexpensive unobtrusive way. Not only does provide passive means collect historical at scale, it functions "verbal" sensor, providing rich signals about individual's ecological context. This case introduces infrastructural framework illustrate feasibility passively collecting scale context ongoing multimodal...
Organizational culture (OC) encompasses the underlying beliefs, values, and practices that are unique to an organization. However, OC is inherently subjective a coarse construct, therefore challenging quantify. Alternatively, self-initiated workplace reviews on online platforms like Glassdoor provide opportunity leverage richness of language understand OC. In as much, first, we use multiple job descriptors operationalize word vector representation. We validate this construct with used in...
Open online forums like Reddit provide an opportunity to quantitatively examine COVID-19 vaccine perceptions early in the timeline. We misinformation on following scientific announcements, initial phases of
With the heightened digitization of workplace, alongside rise remote and hybrid work prompted by pandemic, there is growing corporate interest in using passive sensing technologies for workplace wellbeing. Existing research on these often focus understanding or improving interactions between an individual user technology. Workplace settings can, however, introduce a range complexities that challenge potential impact in-practice desirability wellbeing technologies. Today, inadequate empirical...
The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation behaviors. With the increasing ubiquity widespread use of social media, individuals often express share lived experiences struggles with mental health. However, there is gap our understanding about existence effectiveness which we study this paper. In particular, adopt causal-inference framework to examine impact exposure health coping stories on Twitter. We obtain Twitter dataset ∼...
Content moderation is critical for maintaining healthy online spaces. However, it remains a predominantly manual task. Moderators are often exhausted by low moderator-to-posts ratio. Researchers have been exploring computational tools to assist human moderators. The natural language understanding capabilities of large models (LLMs) open up possibilities use LLMs moderation. This work explores the feasibility using identify rule violations on Reddit. We examine how an LLM-based moderator...
Prior research on transparency in content moderation has demonstrated the benefits of offering post-removal explanations to sanctioned users. In this paper, we examine whether influence such transcends those who are moderated bystanders witness explanations. We conduct a quasi-experimental study two popular Reddit communities (r/AskReddit and r/science) by collecting their data spanning 13 months—a total 85.5M posts made 5.9M Our causal-inference analyses show that significantly increase...