Yaakov Ophir

Yaakov Ophir
Technion - Israel Institute of Technology | technion

Doctor of Philosophy

About

26
Publications
7,229
Reads
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305
Citations
Citations since 2016
25 Research Items
305 Citations
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2016201720182019202020212022020406080100

Publications

Publications (26)
Article
Full-text available
Little is known about the manifestation of teenage depression on Social Network Sites (SNS) in general, and in adolescents’ Facebook status updates in particular. Objective: In this study, we compare the traditional 'offline' clinical picture of depression with its online manifestations and explore unique features of online depression that are less...
Article
Full-text available
The contemporary parenting challenge of regulating children's screen time became even more difficult during the coronavirus pandemic (COVID-19). The current research addresses the characteristics of this challenge and explores mothers' perceptions regarding their children's screen use, through two consecutive studies. Study 1 included 299 mothers o...
Article
Two publications by Merzon and colleagues at the Journal of Attention Disorders ( JAD ) suggest that ADHD increases risks for COVID-19 infections (2020) and severe outcomes (2021). Adherence to stimulant treatments was recommended to attenuate the pandemic spread (2020). The conclusions of these timely studies attracted considerable attention, prob...
Article
Full-text available
בחודש אפריל, 2019, פרסם ארגון הבריאות העולמי הנחיות למניעה ולהגבלת זמן מסך בקרב פעוטות וילדים בגיל הגן, שהתבססו על 33 מחקרים שעסקו בקשר שבין שימוש במסכים לבין התפתחות פסיכולוגית. ההנחיות סוקרו באופן נרחב בתקשורת ועוררו דאגה ציבורית רבה. ניתוח ביקורתי שיטתי ומטא-אנליזה של 33 המחקרים מלמדים כי איכות המחקרים ירודה, ההשפעה הפוטנציאלית הכללית המתוארת בה...
Article
Full-text available
In April 2019, the World Health Organization (WHO) published guidelines on sleep, physical activity, and sedentary behavior for preschool children that included recommendations regarding children's screen time. This article discusses the psychological implications of children's screen-time through a step-by-step, critical review of the literature u...
Article
Full-text available
Suicide, a leading cause of death, is a complex and a hard-to-predict human tragedy. In this article, we introduce a comprehensive outlook on the emerging movement to integrate computational linguistics (CL) in suicide prevention research and practice. Focusing mainly on the state-of-the-art deep neural network models, in this “travel guide” articl...
Preprint
Suicide, a leading cause of death, is a complex and a hard-to-predict human tragedy. This article introduces a comprehensive outlook on the emerging movement to integrate Computational Linguistics (CL) in suicide prevention research and practice. Focusing mainly on the state-of-the-art Deep Neural Network models, this "travel guide" article describ...
Preprint
Full-text available
Suicide research involves a difficult ethical challenge: how to keep participants' safe without compromising their privacy. This challenge becomes even more difficult in contemporary research that relies on data from anonymous users of web-based crowdsourcing platforms (e.g., Amazon's Mechanical Turk). To address this ethical challenge, a consortiu...
Article
Full-text available
This article raises awareness to manipulations and “spins” that occur in Attention Deficit/Hyperactivity Disorder (ADHD) research. An in-depth inspection was conducted on a high-profile study that suggested that ADHD is a risk factor for infection with COVID-19 and that stimulants reduce that risk (Merzon et al., 2020b). Two additional studies by t...
Preprint
Full-text available
Background: Detection of suicide risk is a highly prioritized, yet complicated task. In fact, five decades of suicide research produced predictions that were only marginally better than chance (AUCs = 0.56 – 0.58). Advanced machine learning methods open up new opportunities for progress in mental health research. In the present study, Artificial Ne...
Article
Full-text available
Detection of suicide risk is a highly prioritized, yet complicated task. Five decades of research have produced predictions slightly better than chance (AUCs = 0.56–0.58). In this study, Artificial Neural Network (ANN) models were constructed to predict suicide risk from everyday language of social media users. The dataset included 83,292 postings...
Preprint
Background: Critics of Attention Deficit/Hyperactivity Disorder (ADHD) warn against overdiagnosis and overtreatment of millions of children. Objective: The goal of this article is to raise awareness to manipulations and "spins" that might occur in attention disorders research. Method: An in-depth inspection was conducted on a high-profile study tha...
Article
Full-text available
The rising of social media has opened new opportunities for forming therapeutic relationships with youth at risk who have little faith in institutionalized interventions. The goal of this study is to examine whether and how youth care workers utilize social media communications for reaching out to detached adolescents and providing them emotional s...
Preprint
Full-text available
Background: Detection of suicide risk is a highly prioritized, yet complicated task. In fact, five decades of suicide research produced predictions that were only marginally better than chance (AUCs = 0.56 – 0.58). Advanced machine learning methods open up new opportunities for progress in mental health research. In the present study, Artificial Ne...
Article
To the Editor On January 16, 2020, a CNN article announced neurobiologic evidence pointing to “the potential benefits of reading and the potential detriments of screen time on a preschool child’s brain development.”¹ This article relied on 2 scientific articles by Hutton et al, which were published within weeks of each other, one in JAMA Pediatrics...
Chapter
Full-text available
This literature review gives a glimpse into the emerging developmental stage of 'digital adolescence' and draws an integrative, multi-layered picture of the effects of smartphones and social networking technologies (SNTs) on adolescents’ well-being. On the positive side, adolescents can use the new technologies to gather social capital, maintain co...
Article
Road traffic accidents, congestion and their ensuing issues are of international concern. A recent technological development to alleviate this situation is the autonomic car. A driverless vehicle will transport its passengers to their destinations. User experience would be enhanced by adapting the workings of the vehicle in line with the personalit...
Article
Full-text available
To the Editor On January 28, 2019, the Madigan et al study was published in which they “support the directional association between screen time and child development.”¹ The article received considerable public attention, but its conclusion is problematic. First, all between-person associations were not significant, and the within-person cross-lagge...
Article
Full-text available
Data collection from online platforms, such as Mechanical Turk (MTurk), has become popular in clinical research. However, there are also concerns about the representativeness and the quality of this data for clinical studies. The present work explores these issues in the specific case of major depression. Analyses of two large data sets gathered fr...
Article
Full-text available
In this commentary, we raise seven methodological concerns regarding Twenge, Joiner, Rogers, and Martin (2018), among which are inaccurate research measurements, negligible correlations between the main variables, insufficient and inadequate statistical analyses, and problematic interpretation of the results. In fact, the negligible associations be...
Article
Full-text available
Online Social Networking Sites (SNSs) are immensely popular, especially among adolescents. Activity on these sites leaves digital footprints, which may be used to study online behavioral correlates of adolescent psychological distress and to, ultimately, improve detection and intervention efforts. In the present work, we explore the digital footpri...
Article
Full-text available
We examine how teacher-student communication through social network technologies may support student resilience during an ongoing war (i.e., the 2014 Israel-Gaza war). Based on student responses from open-ended surveys (N = 68), five content categories of emotional support were identified: caring, reassuring, emotion sharing, belonging, and distrac...
Chapter
Full-text available
Small-group settings have been the object of intense research on their potential to boost cognitive development. Indeed, the quality of small-group discussions has led to impressive learning outcomes ranging from the promotion of critical thinking, to the promotion of social skills. Guidance is necessary, though. Research has shown that scaffolding...
Article
Psychological distress and experiences of peer victimization and social rejection are common among adolescents. Nevertheless, the growing popularity of online Social Network Sites (SNS) among adolescents offers an unprecedented opportunity for early detection of adolescents' distress. This study examined the scope of, and the individual differences...
Article
Full-text available
Exposure to war is associated with psychological disturbances, but ongoing communication between adolescents and teachers may contribute to adolescents' resilience. This study examined the extent and nature of teacher-student communication on Social Network Sites (SNS) during the 2014 Israel-Gaza war. Israeli adolescents (N = 208, 13-18 yrs) comple...
Article
People who tend to engage in brooding, the maladaptive subtype of rumination, are at risk to develop depression. Brooders often endorse metacognitive beliefs that self-focused ruminative thinking is beneficial. In the current study, we examined whether brooding and positive beliefs about rumination are associated with perceptions of and preferences...

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Projects

Projects (3)
Project
In this project we map the ways in which ubiquitous Social Network Site (SNS) technologies are adopted for school-related purposes, by both teachers and students
Project
In this work we aim to identify overt and covert digital footprints of suicide risk and depression, as well as social rejection and victimization of bullying in both adolescent and adult Social Network Site activities