D Hudson Smith
Biographic Data
| ID | 4423747 |
|---|---|
| NAME | D Hudson Smith |
| GIVEN NAMES | D Hudson |
| FAMILY NAME | Smith |
| SIGNATURE | SMITH D H |
| AFFILIATIONS | Clemson University |
| ORCID | 0000-0003-3041-4602 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Social media trolls as faux third-party agents of image repair
This study examines trolls affiliated with the People's Republic of China (PRC) that targeted conversations around former Houston Rockets' General Manager Daryl Morey, who tweeted support for Hong Kong protests and apologized in October 2019.Researchers coded 5,800 tweets to inform a machine-learning approach examining a corpus of over 163,000 tweets.Findings suggested that a PRC disinformation campaign was organized as a faux third-party image r…
How negativity and policy content drive the spread of political messages
Research demonstrates that negative messages spread more online, both at the elite and mass levels. We know comparatively less about the role that policy content plays, and whether that might be responsible for the effect of negativity. We examine over 1.4 million congressional tweets to test the effect of message tone and topic on the number of retweets that messages receive. We find that elite messages are retweeted more when they contain polit…
Inauthentic Newsfeeds and Agenda Setting in a Coordinated Inauthentic Information Operation
The 2015–2017 Russian Internet Research Agency (IRA)’s coordinated information operation is one of the earliest and most studied of the social media age. A set of 38 city-specific inauthentic “newsfeeds” made up a large, underanalyzed part of its English-language output. We label 1,000 tweets from the IRA newsfeeds and a matched set of real news sources from those same cities with up to five labels indicating the tweet represents a world in unres…
Inauthentic Newsfeeds and Agenda Setting in a Coordinated Inauthentic Information Operation
The 2015–2017 Russian Internet Research Agency (IRA)’s coordinated information operation is one of the earliest and most studied of the social media age. A set of 38 city-specific inauthentic “newsfeeds” made up a large, underanalyzed part of its English-language output. We label 1,000 tweets from the IRA newsfeeds and a matched set of real news sources from those same cities with up to five labels indicating the tweet represents a world in unres…
Inauthentic Newsfeeds and Agenda Setting in a Coordinated Inauthentic Information Operation
The 2015–2017 Russian Internet Research Agency (IRA)’s coordinated information operation is one of the earliest and most studied of the social media age. A set of 38 city-specific inauthentic “newsfeeds” made up a large, underanalyzed part of its English-language output. We label 1,000 tweets from the IRA newsfeeds and a matched set of real news sources from those same cities with up to five labels indicating the tweet represents a world in unres…
Social media trolls as faux third-party agents of image repair
This study examines trolls affiliated with the People's Republic of China (PRC) that targeted conversations around former Houston Rockets' General Manager Daryl Morey, who tweeted support for Hong Kong protests and apologized in October 2019.Researchers coded 5,800 tweets to inform a machine-learning approach examining a corpus of over 163,000 tweets.Findings suggested that a PRC disinformation campaign was organized as a faux third-party image r…
How negativity and policy content drive the spread of political messages
Research demonstrates that negative messages spread more online, both at the elite and mass levels. We know comparatively less about the role that policy content plays, and whether that might be responsible for the effect of negativity. We examine over 1.4 million congressional tweets to test the effect of message tone and topic on the number of retweets that messages receive. We find that elite messages are retweeted more when they contain polit…
Law (3 works) · Misinformation and Its Impacts (3 works) · Political science (3 works) · Politics (3 works) · Sociology (3 works) · Computer Science (2 works) · Law (2 works) · Media Influence and Politics (2 works) · Social media (2 works) · Social Media and Politics (2 works)