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Jaideep Srivastava

Biographic Data

ID3925225
NAMEJaideep Srivastava
GIVEN NAMESJaideep
FAMILY NAMESrivastava
SIGNATURESRIVASTAVA J
AFFILIATIONSUniversity of Minnesota
ORCID0000-0001-9385-7545
VERIFIEDYes
TOTAL WORKS14
TOTAL CITATIONS9
WORKS AS AUTHOR14
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2022
H-INDEX2
  • Influence of Consumers’ Temporary Affect on Ad Engagement

    Xinyu Lu, Debarati Das et al.•ARTICLE•Journal of Advertising•2022

    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

    Dmitri Williams, Euna Mehnaz Khan et al.•ARTICLE•Journal of Advertising•2022

    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

    Open Access•Bhavtosh Rath, Aadesh Salecha et al.•ARTICLE•Social Network Analysis and Mining•2022•References: 46

  • Relationship between Citizen-Eyewitness Images and Audience Engagement with News

    Jisu Kim, Jisu Huh et al.•ARTICLE•Journalism Practice•2021•Cited by: 1•References: 18

    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

    Jisu Huh, Hyejin Kim et al.•ARTICLE•International Journal of…•2020

    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

    Open Access•Theo Araujo, Jonathan R Copulsky et al.•ARTICLE•Journal of Advertising•2020

    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

    Open Access•Bhavtosh Rath, Wei Gao et al.•ARTICLE•Social Network Analysis and Mining•2018•Cited by: 2•References: 33

  • Online Healthcare Management

    Open Access•Prasanna Desikan, Aarti Sathyanarayana et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • Data Mining

    Open Access•Komal Kapoor, Jaideep Srivastava•CHAPTER•Encyclopedia of Social Network…•2014

  • Finding influencers in networks using social capital

    Open Access•Karthik Subbian, Dhruv Sharma et al.•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 26

  • Robust features of trust in social networks

    Open Access•Zoheb Hassan Borbora, Zoheb Borbora et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 32

  • The Virtual Worlds Exploratorium

    Dmitri Williams, N Contractor et al.•ARTICLE•Communication Methods and Measures•2011•Cited by: 4•References: 8

    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

    Nishith Pathak, Sandeep Mane et al.•CHAPTER•Next Generation of Data Mining•2008

  • Analysis of Cognitive Social and Knowledge Networks From Electronic Communication

    Nishith Pathak, Sandeep Mane et al.•ARTICLE•International Journal of Semantic…•2007

    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

    Dmitri Williams, N Contractor et al.•ARTICLE•Communication Methods and Measures•2011•Cited by: 4•References: 8

    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

    Open Access•Bhavtosh Rath, Wei Gao et al.•ARTICLE•Social Network Analysis and Mining•2018•Cited by: 2•References: 33

  • Relationship between Citizen-Eyewitness Images and Audience Engagement with News

    Jisu Kim, Jisu Huh et al.•ARTICLE•Journalism Practice•2021•Cited by: 1•References: 18

    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

    Open Access•Karthik Subbian, Dhruv Sharma et al.•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 26

  • Robust features of trust in social networks

    Open Access•Zoheb Hassan Borbora, Zoheb Borbora et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 32

  • Analysis of Cognitive Social and Knowledge Networks From Electronic Communication

    Nishith Pathak, Sandeep Mane et al.•ARTICLE•International Journal of Semantic…•2007

    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

    Nishith Pathak, Sandeep Mane et al.•CHAPTER•Next Generation of Data Mining•2008

  • The Virtual Worlds Exploratorium

    Dmitri Williams, N Contractor et al.•ARTICLE•Communication Methods and Measures•2011•Cited by: 4•References: 8

    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

    Open Access•Zoheb Hassan Borbora, Zoheb Borbora et al.•ARTICLE•Social Network Analysis and Mining•2013•Cited by: 1•References: 32

  • Online Healthcare Management

    Open Access•Prasanna Desikan, Aarti Sathyanarayana et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • Data Mining

    Open Access•Komal Kapoor, Jaideep Srivastava•CHAPTER•Encyclopedia of Social Network…•2014

  • Finding influencers in networks using social capital

    Open Access•Karthik Subbian, Dhruv Sharma et al.•ARTICLE•Social Network Analysis and Mining•2014•Cited by: 1•References: 26

  • Utilizing computational trust to identify rumor spreaders on Twitter

    Open Access•Bhavtosh Rath, Wei Gao et al.•ARTICLE•Social Network Analysis and Mining•2018•Cited by: 2•References: 33

  • You reap where you sow

    Jisu Huh, Hyejin Kim et al.•ARTICLE•International Journal of…•2020

    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

    Open Access•Theo Araujo, Jonathan R Copulsky et al.•ARTICLE•Journal of Advertising•2020

    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

    Jisu Kim, Jisu Huh et al.•ARTICLE•Journalism Practice•2021•Cited by: 1•References: 18

    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

    Xinyu Lu, Debarati Das et al.•ARTICLE•Journal of Advertising•2022

    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

    Dmitri Williams, Euna Mehnaz Khan et al.•ARTICLE•Journal of Advertising•2022

    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

    Open Access•Bhavtosh Rath, Aadesh Salecha et al.•ARTICLE•Social Network Analysis and Mining•2022•References: 46

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)

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