149 citations · 240 across the 18 of their papers we have counts for
21 papers
Depressive symptoms are reflected differently across digital contexts
Yajing Wang, Emilia Marchese, Talayeh Aledavood +1
As more of everyday life takes place online, digital behavior may provide a potential window into how depressive symptoms are reflected in daily life. Yet digital mental health stu…
Competing for a Finite Pool of Attention in Social Media? How a New Geopolitical Conflict Reshapes Engagement in Bluesky
Kamand Kalashi, Arash Badie-Modiri, Ali Salloum +3
Major geopolitical crises can rapidly reshape online public attention. Yet population-level increases in discussion volume about a new crisis reveal little about how users accommod…
Disrupted Companionship: A Risk Assessment Framework and Cross-Platform Quantitative Analysis of Psychosocial Responses to AI Companion Disruptions
Chau Do, Yunhao Yuan, Koustuv Saha +2
AI companions can provide meaningful relationships, yet these relationships remain vulnerable to platform-initiated changes. We study AI companion disruptions: platform changes tha…
When AI Companions Disappear: Relational Continuity and Collective Contestation during China's National AI Regulatory Transition
Yunhao Yuan, Kejia Zhang, Yuqi Niu +3
AI model updates and service withdrawals can disrupt relationships with AI companions, but research has largely examined individual platform events. Less is known about users' resp…
Quantifying the Persistence of Daily Routines
Nguyen Luong, Talayeh Aledavood
Daily life is structured by recurring routines that coordinate biological rhythms with social and occupational demands. Individual differences in work schedules, family obligations…
Lonely Individuals Show Distinct Patterns of Social Media Engagement
Yajing Wang, Talayeh Aledavood, Juhi Kulshrestha
Loneliness has reached epidemic proportions globally, posing serious risks to mental and physical health. As social media platforms increasingly mediate social interaction, underst…
Mental Health Impacts of AI Companions: Triangulating Social Media Quasi-Experiments, User Perspectives, and Relational Theory
Yunhao Yuan, Jiaxun Zhang, Talayeh Aledavood +2
AI-powered companion chatbots (AICCs) such as Replika are increasingly popular, offering empathetic interactions, yet their psychosocial impacts remain unclear. We examined how eng…
Stress Bytes: Decoding the Associations between Internet Use and Perceived Stress
Mohammad Belal, Nguyen Luong, Talayeh Aledavood +1
In today's digital era, internet plays a pervasive role in our lives, influencing everyday activities such as communication, work, and leisure. This online engagement intertwines w…
Multiplexity is temporal: effects of social times on network structure
Javier Ureña-Carrion, Sara Heydari, Talayeh Aledavood +2
Large-scale social networks constructed using contact metadata have been invaluable tools for understanding and testing social theories of society-wide social structures. However,…
Sleep during COVID-19 pandemic: Longitudinal observational study combining multisensor data with questionnaires
Nguyen Luong, Gloria Mark, Juhi Kulshrestha +1
The COVID-19 pandemic led to various containment strategies, such as work-from-home policies and reduced social contact, which significantly altered people's sleep patterns. Our st…
The impact of the COVID-19 pandemic on daily rhythms
Nguyen Luong, Ian Barnett, Talayeh Aledavood
The COVID-19 pandemic has significantly impacted daily activity rhythms and life routines. Understanding the dynamics of these impacts on different groups of people is essential fo…
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
Yunhao Yuan, Koustuv Saha, Barbara Keller +2
The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of soc…
Niimpy: a toolbox for behavioral data analysis
A. Ikäheimonen, A. M. Triana, N. Luong +4
Behavioral studies using personal digital devices typically produce rich longitudinal datasets of mixed data types. These data provide information about the behavior of users of th…
Vaccine Discourse on Twitter During the COVID-19 Pandemic
Gabriel Lindelöf, Talayeh Aledavood, Barbara Keller
Since the onset of the COVID-19 pandemic, vaccines have been an important topic in public discourse. The discussions around vaccines are polarized as some see them as an important…
Minority Stress Experienced by LGBTQ Online Communities during the COVID-19 Pandemic
Yunhao Yuan, Gaurav Verma, Barbara Keller +1
The COVID-19 pandemic has disproportionately impacted the lives of minorities, such as members of the LGBTQ community (lesbian, gay, bisexual, transgender, and queer) due to pre-ex…
Proximity in face-to-face interaction is associated with mobile phone communication
Tobias Bornakke, Talayeh Aledavood, Jari Saramäki +1
The frequency of mobile communication is often used as an indicator of the strength of a tie between two individuals, but how mobile communication relates to other forms of behavin…
A Non-negative Matrix Factorization Based Method for Quantifying Rhythms of Activity and Sleep and Chronotypes Using Mobile Phone Data
Talayeh Aledavood, Ilkka Kivimäki, Sune Lehmann +1
Human activities follow daily, weekly, and seasonal rhythms. The emergence of these rhythms is related to physiology and natural cycles as well as social constructs. The human body…
Social Network Differences of Chronotypes Identified from Mobile Phone Data
Talayeh Aledavood, Sune Lehmann, Jari Saramäki
Human activity follows an approximately 24-hour day-night cycle, but there is significant individual variation in awake and sleep times. Individuals with circadian rhythms at the e…
On the Digital Daily Cycles of Individuals
Talayeh Aledavood, Sune Lehmann, Jari Saramäki
Humans, like almost all animals, are phase-locked to the diurnal cycle. Most of us sleep at night and are active through the day. Because we have evolved to function with this cycl…
Channel-Specific Daily Patterns in Mobile Phone Communication
Talayeh Aledavood, Eduardo López, Sam G. B. Roberts +4
Humans follow circadian rhythms, visible in their activity levels as well as physiological and psychological factors. Such rhythms are also visible in electronic communication reco…
Daily rhythms in mobile telephone communication
Talayeh Aledavood, Eduardo López, Sam G. B. Roberts +4
Circadian rhythms are known to be important drivers of human activity and the recent availability of electronic records of human behaviour has provided fine-grained data of tempora…