Dhiraj Murthy
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View article: A Dashboard Approach to Monitoring Mpox-Related Discourse and Misinformation on Social Media
A Dashboard Approach to Monitoring Mpox-Related Discourse and Misinformation on Social Media Open
Mpox (formerly monkeypox) is a zoonotic disease caused by an orthopoxvirus closely related to variola and remains a significant global public health concern. During outbreaks, social media platforms like X (formerly Twitter) can both infor…
View article: Quantifying the spread of racist content on fringe social media: A case study of Parler
Quantifying the spread of racist content on fringe social media: A case study of Parler Open
Few studies characterize the diffusion of racist content on fringe social media platforms. We demonstrate how racism spread on Parler, a far right, un(der)-moderated social media platform, and that a single comment to a racist post increas…
View article: Generative artificial intelligence and machine learning methods to screen social media content
Generative artificial intelligence and machine learning methods to screen social media content Open
Background Social media research is confronted by the expansive and constantly evolving nature of social media data. Hashtags and keywords are frequently used to identify content related to a specific topic, but these search strategies oft…
View article: Examining hurricane–related social media topics longitudinally and at scale: A transformer-based approach
Examining hurricane–related social media topics longitudinally and at scale: A transformer-based approach Open
Instead of turning to emergency phone systems, social media platforms, such as Twitter, have emerged as alternative and sometimes preferred venues for members of the public in the US to communicate during hurricanes and other natural disas…
View article: An Analysis of Employee Satisfaction and Quality of Work Life Among Employee with Special Reference to Mythri Metallizing India Bangalore
An Analysis of Employee Satisfaction and Quality of Work Life Among Employee with Special Reference to Mythri Metallizing India Bangalore Open
This study investigates employee satisfaction and quality of work life (QWL) among employees at Mythri Metallizing in Bangalore, emphasizing the relationship between these two essential factors. Employee satisfaction is crucial for organiz…
View article: An Analysis on Leveraging Technology in Recruitment Enhancing Sourcing Efficiency and Effectiveness in Dabster Consultancy Private Limited in BTM Layout, Bangalore
An Analysis on Leveraging Technology in Recruitment Enhancing Sourcing Efficiency and Effectiveness in Dabster Consultancy Private Limited in BTM Layout, Bangalore Open
In this study, the Bangalore-based recruiting agency Dabster Consultancy Private Limited examines how technology might improve the efficacy and sourcing efficiency of its hiring procedures. Utilizing technology tools like applicant trackin…
View article: Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study
Vaping, Acculturation, and Social Media Use Among Mexican American College Students: Protocol for a Mixed Methods Web-Based Cohort Study Open
Background The tobacco industry has a history of targeting minority communities, including Hispanic individuals, by promoting vaping through social media. This marketing increases the risk of vaping among Hispanic young adults, including c…
View article: Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media
Entendre, a Social Bot Detection Tool for Niche, Fringe, and Extreme Social Media Open
Social bots-automated accounts that generate and spread content on social media-are exploiting vulnerabilities in these platforms to manipulate public perception and disseminate disinformation. This has prompted the development of public b…
View article: Identifying E-cigarette Content on TikTok: Using a BERTopic Modeling Approach
Identifying E-cigarette Content on TikTok: Using a BERTopic Modeling Approach Open
Introduction The use of hashtags is a common way to promote e-cigarette content on social media. Analysis of hashtags may provide insight into e-cigarette promotion on social media. However, the examination of text data is complicated by t…
View article: Sociology of Twitter/X: Trends, Challenges, and Future Research Directions
Sociology of Twitter/X: Trends, Challenges, and Future Research Directions Open
This article provides a sociology of Twitter (now known as X) and charts the development of the study of the platform and its data in sociological venues through an analysis of 1,644 articles published since 2009. This review helps readers…
View article: The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study
The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study Open
Background Social media posts that portray vaping in positive social contexts shape people’s perceptions and serve to normalize vaping. Despite restrictions on depicting or promoting controlled substances, vape-related content is easily ac…
View article: Using Computer Vision to Detect E-cigarette Content in TikTok Videos
Using Computer Vision to Detect E-cigarette Content in TikTok Videos Open
Introduction Previous research has identified abundant e-cigarette content on social media using primarily text-based approaches. However, frequently used social media platforms among youth, such as TikTok, contain primarily visual content…
View article: Problematic social media use and vaping among Mexican-American college students
Problematic social media use and vaping among Mexican-American college students Open
Introduction Social media use and vaping nicotine are highly prevalent in the daily lives of young adults, especially among Mexican-American college students. The excessive and compulsive use of social media platforms, coupled with the urg…
View article: The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study (Preprint)
The Normalization of Vaping on TikTok Using Computer Vision, Natural Language Processing, and Qualitative Thematic Analysis: Mixed Methods Study (Preprint) Open
BACKGROUND Social media posts that portray vaping in positive social contexts shape people’s perceptions and serve to normalize vaping. Despite restrictions on depicting or promoting controlled substances, vape-related content is easily a…
View article: Content Analysis of YouTube Videos Related to E-Cigarettes and COVID-19
Content Analysis of YouTube Videos Related to E-Cigarettes and COVID-19 Open
Our findings support the need for continuous surveillance and research on novel vaping-related content in reaction to policies and events, such as the global pandemic. More research is needed to understand the impact of this content on you…
View article: Temporal Analysis of Misinformation on Parler
Temporal Analysis of Misinformation on Parler Open
Social media platforms have facilitated the rapid spread of dis- and mis-information. Parler, a US-based fringe social media platform that positions itself as a champion of free-speech, has had substantial information integrity issues. In …
View article: Understanding Lexical Biases when Identifying Gang-related Social Media Communications
Understanding Lexical Biases when Identifying Gang-related Social Media Communications Open
Individuals involved in gang-related activity use mainstream social media including Facebook and Twitter to express taunts and threats as well as grief and memorializing. However, identifying the impact of gang-related activity in order to…
View article: Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach
Using artificial intelligence to identify emergency messages on social media during a natural disaster: A deep learning approach Open
During natural disasters, emergency communication systems become overloaded, and people are forced to turn to social media to make requests for help. This study employs machine learning and artificial intelligence to automatically detect, …
View article: Social Media COVID-19 Contact Tracing Using Mobile Social Payments and Facebook Data
Social Media COVID-19 Contact Tracing Using Mobile Social Payments and Facebook Data Open
Many in the US were reluctant to report their COVID-19 cases at the height of the pandemic (e.g., for fear of missing work or other obligations due to quarantine mandates). Other methods such as using public social media data can therefore…
View article: Predicting Gender and Political Affiliation Using Mobile Payment Data
Predicting Gender and Political Affiliation Using Mobile Payment Data Open
We explore the understudied area of social payments to evaluate whether or not we can predict the gender and political affiliation of Venmo users based on the content of their Venmo transactions. Latent attribute detection has been success…
View article: Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification
Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification Open
Background The proliferation of e-cigarette content on YouTube is concerning because of its possible effect on youth use behaviors. YouTube has a personalized search and recommendation algorithm that derives attributes from a user’s profil…
View article: Content Analysis of YouTube Videos Related to E-cigarettes and COVID-19
Content Analysis of YouTube Videos Related to E-cigarettes and COVID-19 Open
INTRODUCTION E-cigarettes are frequently promoted on social media and portrayed in ways that are attractive to youth. While COVID-19 pandemic significantly affected people’s lives, less known is how the pandemic influenced e-cigarette-rela…
View article: Theme and Topic: How Qualitative Research and Topic Modeling Can Be Brought Together
Theme and Topic: How Qualitative Research and Topic Modeling Can Be Brought Together Open
Qualitative research is an approach to understanding social phenomenon based around human interpretation of data, particularly text. Probabilistic topic modelling is a machine learning approach that is also based around the analysis of tex…
View article: PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation
PoxVerifi: An Information Verification System to Combat Monkeypox Misinformation Open
Following recent outbreaks, monkeypox-related misinformation continues to rapidly spread online. This negatively impacts response strategies and disproportionately harms LGBTQ+ communities in the short-term, and ultimately undermines the o…
View article: Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification (Preprint)
Influence of User Profile Attributes on e-Cigarette–Related Searches on YouTube: Machine Learning Clustering and Classification (Preprint) Open
BACKGROUND The proliferation of e-cigarette content on YouTube is concerning because of its possible effect on youth use behaviors. YouTube has a personalized search and recommendation algorithm that derives attributes from a user’s profi…
View article: COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic
COVID-19 Misinformation Detection: Machine-Learned Solutions to the Infodemic Open
Background The volume of COVID-19–related misinformation has long exceeded the resources available to fact checkers to effectively mitigate its ill effects. Automated and web-based approaches can provide effective deterrents to online misi…
View article: I know what you did on Venmo: Discovering privacy leaks in mobile social payments
I know what you did on Venmo: Discovering privacy leaks in mobile social payments Open
Venmo is a US-based mobile social payments platform. Each Venmo transaction requires a “payment note”, a brief memo. By default, these memos are visible to all other Venmo users. Using three data sets of Venmo transactions, which span 8 ye…
View article: Understanding e-cigarette content and promotion on YouTube through machine learning
Understanding e-cigarette content and promotion on YouTube through machine learning Open
Introduction YouTube is a popular social media used by youth and has electronic cigarette (e-cigarette) content. We used machine learning to identify the content of e-cigarette videos, featured e-cigarette products, video uploaders, and ma…
View article: COVID-19 Misinformation Detection: Machine Learned Solutions to the Infodemic (Preprint)
COVID-19 Misinformation Detection: Machine Learned Solutions to the Infodemic (Preprint) Open
BACKGROUND Due to the volume of COVID-19-related misinformation exceeding the capabilities of fact checkers, automated and web-based approaches can provide effective deterrents to online misinformation. Despite the progress of initial, ra…