G
Girish J. Gulati
Researcher at Bentley University
Publications - 35
Citations - 1114
Girish J. Gulati is an academic researcher from Bentley University. The author has contributed to research in topics: Digital divide & Government. The author has an hindex of 16, co-authored 35 publications receiving 1045 citations. Previous affiliations of Girish J. Gulati include Wellesley College.
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Social networks in political campaigns: Facebook and the congressional elections of 2006 and 2008
TL;DR: It is indicated that Facebook adoption diffused rapidly between 2006 and 2008, with party (Democrats), competition, money and the level of education in the district explaining both adoption and implementation.
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Social Media and Campaign 2012: Developments and Trends for Facebook Adoption
TL;DR: In this paper, the authors examined the adoption of Facebook by congressional candidates in the 2012 U.S. election and identified characteristics that differentiate the small subset of candidates who did not create a Facebook presence from the large majority who did.
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Closing the Gap, Raising the Bar
TL;DR: A content analysis of the campaign web sites of every Senate and House candidate reveals that baseline informational web content and features have become standardized but that Senate sites are more sophisticated technologically as mentioned in this paper.
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Congressional Candidates' Use of YouTube in 2008: Its Frequency and Rationale
TL;DR: This article investigated the extent of Congressional candidates' use of YouTube in 2008 and analyzed which candidates were more likely to adopt and use this tool while 72 percent of the major party candidates for the Senate opened YouTube channels, only 28 percent of candidates for House seats did so.
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Predictors of on-line services and e-participation: A cross-national comparison
TL;DR: There is greater e-government capability in countries that have more effective public sector governance and administration, and policies that advance the development and diffusion of information and communication technologies, according to multiple regression analysis.