Hemant Purohit
Biographic Data
| ID | 275242 |
|---|---|
| NAME | Hemant Purohit |
| GIVEN NAMES | Hemant |
| FAMILY NAME | Purohit |
| SIGNATURE | PUROHIT H |
| AFFILIATIONS | George Mason University |
| ORCID | 0000-0002-4573-8450 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 5 |
| AUTHOR COUNT | 13 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Debiasing Large Language Models Toward Social Factors in Online Behavior Analytics Through Prompt Knowledge Tuning
Assessing the effects of minimum floor price laws on tobacco use among youth in the state of Virginia, USA
MFPLs provide local jurisdictions with a potentially effective strategy to reduce tobacco use and mitigate-related harms among youth
Human-AI Teaming During an Ongoing Disaster
Humans play an integral role in identifying important information from social media during disasters. While human annotation of social media data to train machine learning models is often viewed as human-computer interaction, this study interrogates the ontological boundary between such interaction and human-machine communication. We conducted multiple interviews with participants who both labeled data to train machine learning models and correct…
Integrated content-network analysis to discover influential collectives for studying social cyber-threats from online social movements
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
Ranking and grouping social media requests for emergency services using serviceability model
Social media has become an alternative communication mechanism for the public to reach out to emergency services during time-sensitive events. However, the information overload of social media experienced by these services, coupled with their limited human resources, challenges them to timely identify, prioritize, and organize critical requests for help. In this paper, we first present a formal model of serviceability calledSocial-EOC, which desc…
Sex, Lies, and Stereotypes
This analysis examines the literature on gendered media coverage of women candidates for higher office, and considers how biases in the treatment of candidates based on gender may be evident in or exacerbated by the promulgation of fake news. Using the 2016 Presidential election cycle in the United States as a case study, two fake news stories are investigated, which, like most fake news stories at the time, exhibited coverage in favor of the can…
How social media supports hashtag activism through multivocality
Although research on different hashtag activism campaigns abounds, no study has looked at how different affordances of social media support a single campaign. We use data from a hashtag activism campaign, #ILookLikeAnEngineer, launched to showcase diversity within engineering workforce, to examine how different elements of a campaign blend together. We specifically identify three distinct but interconnected ways in which social media supports act…
Gender-based violence in 140 characters or fewer
Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as gender-based violence (GBV). In this study, we examine big (social) data consisting of nearly 14 million tweets collected from Twitter over a period of 10 months to analyze public opinion regarding GBV, highlighting th…
Twitris
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
On Understanding the Divergence of Online Social Group Discussion
We study online social group dynamics based on how group members diverge in their online discussions. Previous studies mostly focused on the link structure to characterize social group dynamics, whereas the group behavior of content generation in discussions is not well understood. Particularly, we use Jensen-Shannon (JS) divergence to measure the divergence of topics in user-generated contents, and how it progresses over time. We study Twitter m…
Emergency-relief coordination on social media
Disaster affected communities are increasingly turning to social media for communication and coordination. This includes reports on needs (demands) and offers (supplies) of resources required during emergency situations. Identifying and matching such requests with potential responders can substantially accelerate emergency relief efforts. Current work of disaster management agencies is labor intensive, and there is substantial interest in automat…
Ranking and grouping social media requests for emergency services using serviceability model
Social media has become an alternative communication mechanism for the public to reach out to emergency services during time-sensitive events. However, the information overload of social media experienced by these services, coupled with their limited human resources, challenges them to timely identify, prioritize, and organize critical requests for help. In this paper, we first present a formal model of serviceability calledSocial-EOC, which desc…
Sex, Lies, and Stereotypes
This analysis examines the literature on gendered media coverage of women candidates for higher office, and considers how biases in the treatment of candidates based on gender may be evident in or exacerbated by the promulgation of fake news. Using the 2016 Presidential election cycle in the United States as a case study, two fake news stories are investigated, which, like most fake news stories at the time, exhibited coverage in favor of the can…
On Understanding the Divergence of Online Social Group Discussion
We study online social group dynamics based on how group members diverge in their online discussions. Previous studies mostly focused on the link structure to characterize social group dynamics, whereas the group behavior of content generation in discussions is not well understood. Particularly, we use Jensen-Shannon (JS) divergence to measure the divergence of topics in user-generated contents, and how it progresses over time. We study Twitter m…
Emergency-relief coordination on social media
Disaster affected communities are increasingly turning to social media for communication and coordination. This includes reports on needs (demands) and offers (supplies) of resources required during emergency situations. Identifying and matching such requests with potential responders can substantially accelerate emergency relief efforts. Current work of disaster management agencies is labor intensive, and there is substantial interest in automat…
Twitris
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
On Understanding the Divergence of Online Social Group Discussion
We study online social group dynamics based on how group members diverge in their online discussions. Previous studies mostly focused on the link structure to characterize social group dynamics, whereas the group behavior of content generation in discussions is not well understood. Particularly, we use Jensen-Shannon (JS) divergence to measure the divergence of topics in user-generated contents, and how it progresses over time. We study Twitter m…
Gender-based violence in 140 characters or fewer
Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as gender-based violence (GBV). In this study, we examine big (social) data consisting of nearly 14 million tweets collected from Twitter over a period of 10 months to analyze public opinion regarding GBV, highlighting th…
How social media supports hashtag activism through multivocality
Although research on different hashtag activism campaigns abounds, no study has looked at how different affordances of social media support a single campaign. We use data from a hashtag activism campaign, #ILookLikeAnEngineer, launched to showcase diversity within engineering workforce, to examine how different elements of a campaign blend together. We specifically identify three distinct but interconnected ways in which social media supports act…
Sex, Lies, and Stereotypes
This analysis examines the literature on gendered media coverage of women candidates for higher office, and considers how biases in the treatment of candidates based on gender may be evident in or exacerbated by the promulgation of fake news. Using the 2016 Presidential election cycle in the United States as a case study, two fake news stories are investigated, which, like most fake news stories at the time, exhibited coverage in favor of the can…
Ranking and grouping social media requests for emergency services using serviceability model
Social media has become an alternative communication mechanism for the public to reach out to emergency services during time-sensitive events. However, the information overload of social media experienced by these services, coupled with their limited human resources, challenges them to timely identify, prioritize, and organize critical requests for help. In this paper, we first present a formal model of serviceability calledSocial-EOC, which desc…
Modeling and mitigating human annotation errors to design efficient stream processing systems with human-in-the-loop machine learning
Human-AI Teaming During an Ongoing Disaster
Humans play an integral role in identifying important information from social media during disasters. While human annotation of social media data to train machine learning models is often viewed as human-computer interaction, this study interrogates the ontological boundary between such interaction and human-machine communication. We conducted multiple interviews with participants who both labeled data to train machine learning models and correct…
Integrated content-network analysis to discover influential collectives for studying social cyber-threats from online social movements
Assessing the effects of minimum floor price laws on tobacco use among youth in the state of Virginia, USA
MFPLs provide local jurisdictions with a potentially effective strategy to reduce tobacco use and mitigate-related harms among youth
Debiasing Large Language Models Toward Social Factors in Online Behavior Analytics Through Prompt Knowledge Tuning
Computer Science (10 works) · Political science (8 works) · Social media (8 works) · World Wide Web (8 works) · Psychology (6 works) · Sociology (5 works) · Artificial Intelligence (4 works) · Public Relations and Crisis Communication (4 works) · Social Media and Politics (4 works) · Business (3 works)