Jaideep Srivastava
Biographic Data
| ID | 3925225 |
|---|---|
| NAME | Jaideep Srivastava |
| GIVEN NAMES | Jaideep |
| FAMILY NAME | Srivastava |
| SIGNATURE | SRIVASTAVA J |
| AFFILIATIONS | University of Minnesota |
| ORCID | 0000-0001-9385-7545 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 14 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2007 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 2 |
Influence of Consumers’ Temporary Affect on Ad Engagement
This study examined the influence of consumers’ temporary affective states during ad exposure on their engagement with different types of ads that are categorized based on theoretically derived attention-grabbing characteristics. A computational research approach was used, cross-analyzing proxy measures of real-time affective fluctuation of viewers during the 2019 Super Bowl broadcast and their tweets regarding the ads aired during the Super Bowl…
Social Value
Measuring influence of one person on another has applications in advertising and marketing and across the sciences. Most approaches involve inferring influence based on speech and social media. In contrast, this paper takes existing spending data and attributes influence on to the spenders and those likely to have caused their spending. The resulting metric, Social Value, is expressed in units of behavior over time. While a person’s total influen…
Fake news spreader detection using trust-based strategies in social networks with bot filtration
Relationship between Citizen-Eyewitness Images and Audience Engagement with News
This study explores the extent to which U.S. newspaper organizations incorporate images captured by private citizens into their news articles as an audience engagement strategy, and examines the relationship between the extent to which citizen-eyewitness images are incorporated in the news and audience news engagement. By conducting a machine-coding analysis of news images and analyzing user behavioral data on Twitter, this study found that U.S. …
You reap where you sow
This study examines the role of source trust in viral ad diffusion, specifically the impact of source trust on the reach and speed of ad diffusion. It tests the feasibility of using computer-algorithm-generated social media metrics, indicating the degree to which each person is trusted by others within a social network, for trust-based viral ad seeding strategy, and future research on viral advertising. Applying trust theory and the computational…
From Purchasing Exposure to Fostering Engagement
Over the past 40 years, we have witnessed seismic shifts in advertising planning and buying processes. Due in no small part to the emergence of digital media, consumer choices have mushroomed, while advertisers understand much more about target audiences. Advertising activities have been drastically transformed by the possibilities that technology creates for targeting and measurement, automation of activities via programmatic advertising, and an…
Utilizing computational trust to identify rumor spreaders on Twitter
Online Healthcare Management
Data Mining
Finding influencers in networks using social capital
Robust features of trust in social networks
The Virtual Worlds Exploratorium
The Virtual Worlds Exploratorium is a multidisciplinary project dedicated to the study of communication-related behaviors using data from massively multiplayer online games (MMOs). In a partnership with a corporation that hosts an MMO, a 20-person team of scholars is engaged in the study of behavior within a game and also game activities that parallel those in “real life” (e.g., economic activity, social networking, group processes). A key aspect…
Analysis of Social Networks and Group Dynamics from Electronic Communication
Analysis of Cognitive Social and Knowledge Networks From Electronic Communication
This paper explains the classical social network analysis and discusses how computer networks effect a shift in constructing social networks. The paper then concentrates on analyzing cognitive aspects of a social network, explaining a simple but scalable approach for modeling a socio-cognitive network. Novel measures using such a socio-cognitive network model are defined and applications of such measures to extract useful information is illustrat…
The Virtual Worlds Exploratorium
The Virtual Worlds Exploratorium is a multidisciplinary project dedicated to the study of communication-related behaviors using data from massively multiplayer online games (MMOs). In a partnership with a corporation that hosts an MMO, a 20-person team of scholars is engaged in the study of behavior within a game and also game activities that parallel those in “real life” (e.g., economic activity, social networking, group processes). A key aspect…
Utilizing computational trust to identify rumor spreaders on Twitter
Relationship between Citizen-Eyewitness Images and Audience Engagement with News
This study explores the extent to which U.S. newspaper organizations incorporate images captured by private citizens into their news articles as an audience engagement strategy, and examines the relationship between the extent to which citizen-eyewitness images are incorporated in the news and audience news engagement. By conducting a machine-coding analysis of news images and analyzing user behavioral data on Twitter, this study found that U.S. …
Finding influencers in networks using social capital
Robust features of trust in social networks
Analysis of Cognitive Social and Knowledge Networks From Electronic Communication
This paper explains the classical social network analysis and discusses how computer networks effect a shift in constructing social networks. The paper then concentrates on analyzing cognitive aspects of a social network, explaining a simple but scalable approach for modeling a socio-cognitive network. Novel measures using such a socio-cognitive network model are defined and applications of such measures to extract useful information is illustrat…
Analysis of Social Networks and Group Dynamics from Electronic Communication
The Virtual Worlds Exploratorium
The Virtual Worlds Exploratorium is a multidisciplinary project dedicated to the study of communication-related behaviors using data from massively multiplayer online games (MMOs). In a partnership with a corporation that hosts an MMO, a 20-person team of scholars is engaged in the study of behavior within a game and also game activities that parallel those in “real life” (e.g., economic activity, social networking, group processes). A key aspect…
Robust features of trust in social networks
Online Healthcare Management
Data Mining
Finding influencers in networks using social capital
Utilizing computational trust to identify rumor spreaders on Twitter
You reap where you sow
This study examines the role of source trust in viral ad diffusion, specifically the impact of source trust on the reach and speed of ad diffusion. It tests the feasibility of using computer-algorithm-generated social media metrics, indicating the degree to which each person is trusted by others within a social network, for trust-based viral ad seeding strategy, and future research on viral advertising. Applying trust theory and the computational…
From Purchasing Exposure to Fostering Engagement
Over the past 40 years, we have witnessed seismic shifts in advertising planning and buying processes. Due in no small part to the emergence of digital media, consumer choices have mushroomed, while advertisers understand much more about target audiences. Advertising activities have been drastically transformed by the possibilities that technology creates for targeting and measurement, automation of activities via programmatic advertising, and an…
Relationship between Citizen-Eyewitness Images and Audience Engagement with News
This study explores the extent to which U.S. newspaper organizations incorporate images captured by private citizens into their news articles as an audience engagement strategy, and examines the relationship between the extent to which citizen-eyewitness images are incorporated in the news and audience news engagement. By conducting a machine-coding analysis of news images and analyzing user behavioral data on Twitter, this study found that U.S. …
Influence of Consumers’ Temporary Affect on Ad Engagement
This study examined the influence of consumers’ temporary affective states during ad exposure on their engagement with different types of ads that are categorized based on theoretically derived attention-grabbing characteristics. A computational research approach was used, cross-analyzing proxy measures of real-time affective fluctuation of viewers during the 2019 Super Bowl broadcast and their tweets regarding the ads aired during the Super Bowl…
Social Value
Measuring influence of one person on another has applications in advertising and marketing and across the sciences. Most approaches involve inferring influence based on speech and social media. In contrast, this paper takes existing spending data and attributes influence on to the spenders and those likely to have caused their spending. The resulting metric, Social Value, is expressed in units of behavior over time. While a person’s total influen…
Fake news spreader detection using trust-based strategies in social networks with bot filtration
Computer Science (12 works) · Complex Network Analysis Techniques (8 works) · Business (7 works) · Social media (7 works) · World Wide Web (7 works) · Opinion Dynamics and Social Influence (6 works) · Advertising (5 works) · Data science (5 works) · Psychology (5 works) · Sociology (5 works)