Elad Yom-Tov
Biographic Data
| ID | 335825 |
|---|---|
| NAME | Elad Yom-Tov |
| GIVEN NAMES | Elad |
| FAMILY NAME | Yom-Tov |
| SIGNATURE | YOM-TOV E |
| AFFILIATIONS | Microsoft Research, Herzliya, Israel |
| VERIFIED | No |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Voices from the margins
Utilizing data from over 11,000 posts and 127,000 responses on Reddit groups over a 10-year period, we employed AI-powered content analysis to examine patterns in the discussions of Reddit users who post about prison and who the model classifies as before/after incarceration across various topics. Our findings revealed significant shifts regarding personal issues. These included issues relative to users’ mental health, substance use, spirituality…
Gun purchase interest as backlash to Black Lives Matter protests
How do protests affect Americans' gun ownership decisions? Using a novel dataset of gun-related web searches in combination with geocoded protest data, we examine the effects of the 2020 Black Lives Matter (BLM) protests on Americans' interest in firearm purchase. We find a clear relationship between geographic proximity to BLM protests and firearm purchase web searches, but a null relationship between these searches and proximity to re-opening p…
The trajectories of online mental health information seeking
Intimate Partner Violence as Reflected in Internet Search Data
Intimate partner violence (IPV) is a major public health concern with serious consequences for victims’ physical and mental health. Despite the high prevalence of IPV, describing it and detecting people suffering from it is difficult due to its sensitive nature and stigma associated with it. Existing tools for screening and tracking IPV victims are laborious, time-consuming, expensive, and require human supervision. Search engine data has previou…
President Trump Stress Disorder
In the aftermath of the 2016 election, many Democrats reported significant increases in stress, depression, and anxiety. Were these increases real, or the product of expressive reporting? Using a unique data set of searches by more than 1 million Bing users before and after the election, we examine the changes in mental-health-related searches among Democrats and Republicans. We then compare these changes to shifts in searches among Spanish-speak…
The effect of social affinity and predictive horizon on churn prediction using diffusion modeling
Linguistic Factors Associated With Propagation of Political Opinions in Twitter
In the last decade, social networks have emerged as a significant media platform for dissemination of political information. In this article, we characterize linguistic factors that affect the dissemination of a political message on Twitter. This is important because characterization of messages that were posted by users from both political camps can provide a unique insight into how rival audiences can be reached. We analyze about 20,000 Twitter…
Promoting Civil Discourse Through Search Engine Diversity
The ability of modern web services such as news aggregators and search engines to tailor their results to the tastes of individuals, together with people's preference for reading opinions which reinforce their own viewpoints, have raised concerns that people are nowadays exposed to a narrow range of view-points, a phenomenon referred to as the “filter bubble”. In this paper we focus on increasing exposure to varied political opinions with a goal …
On information propagation in mobile call networks
President Trump Stress Disorder
In the aftermath of the 2016 election, many Democrats reported significant increases in stress, depression, and anxiety. Were these increases real, or the product of expressive reporting? Using a unique data set of searches by more than 1 million Bing users before and after the election, we examine the changes in mental-health-related searches among Democrats and Republicans. We then compare these changes to shifts in searches among Spanish-speak…
Promoting Civil Discourse Through Search Engine Diversity
The ability of modern web services such as news aggregators and search engines to tailor their results to the tastes of individuals, together with people's preference for reading opinions which reinforce their own viewpoints, have raised concerns that people are nowadays exposed to a narrow range of view-points, a phenomenon referred to as the “filter bubble”. In this paper we focus on increasing exposure to varied political opinions with a goal …
On information propagation in mobile call networks
Linguistic Factors Associated With Propagation of Political Opinions in Twitter
In the last decade, social networks have emerged as a significant media platform for dissemination of political information. In this article, we characterize linguistic factors that affect the dissemination of a political message on Twitter. This is important because characterization of messages that were posted by users from both political camps can provide a unique insight into how rival audiences can be reached. We analyze about 20,000 Twitter…
Linguistic Factors Associated With Propagation of Political Opinions in Twitter
In the last decade, social networks have emerged as a significant media platform for dissemination of political information. In this article, we characterize linguistic factors that affect the dissemination of a political message on Twitter. This is important because characterization of messages that were posted by users from both political camps can provide a unique insight into how rival audiences can be reached. We analyze about 20,000 Twitter…
Promoting Civil Discourse Through Search Engine Diversity
The ability of modern web services such as news aggregators and search engines to tailor their results to the tastes of individuals, together with people's preference for reading opinions which reinforce their own viewpoints, have raised concerns that people are nowadays exposed to a narrow range of view-points, a phenomenon referred to as the “filter bubble”. In this paper we focus on increasing exposure to varied political opinions with a goal …
On information propagation in mobile call networks
The effect of social affinity and predictive horizon on churn prediction using diffusion modeling
President Trump Stress Disorder
In the aftermath of the 2016 election, many Democrats reported significant increases in stress, depression, and anxiety. Were these increases real, or the product of expressive reporting? Using a unique data set of searches by more than 1 million Bing users before and after the election, we examine the changes in mental-health-related searches among Democrats and Republicans. We then compare these changes to shifts in searches among Spanish-speak…
Intimate Partner Violence as Reflected in Internet Search Data
Intimate partner violence (IPV) is a major public health concern with serious consequences for victims’ physical and mental health. Despite the high prevalence of IPV, describing it and detecting people suffering from it is difficult due to its sensitive nature and stigma associated with it. Existing tools for screening and tracking IPV victims are laborious, time-consuming, expensive, and require human supervision. Search engine data has previou…
The trajectories of online mental health information seeking
Gun purchase interest as backlash to Black Lives Matter protests
How do protests affect Americans' gun ownership decisions? Using a novel dataset of gun-related web searches in combination with geocoded protest data, we examine the effects of the 2020 Black Lives Matter (BLM) protests on Americans' interest in firearm purchase. We find a clear relationship between geographic proximity to BLM protests and firearm purchase web searches, but a null relationship between these searches and proximity to re-opening p…
Voices from the margins
Utilizing data from over 11,000 posts and 127,000 responses on Reddit groups over a 10-year period, we employed AI-powered content analysis to examine patterns in the discussions of Reddit users who post about prison and who the model classifies as before/after incarceration across various topics. Our findings revealed significant shifts regarding personal issues. These included issues relative to users’ mental health, substance use, spirituality…
Computer Science (6 works) · Political science (5 works) · Psychology (4 works) · World Wide Web (4 works) · Psychiatry (3 works) · Sociology (3 works) · Artificial Intelligence (2 works) · Complex Network Analysis Techniques (2 works) · Internet privacy (2 works) · Law (2 works)