โ: Papers with students I helped to supervised
2024
Causally estimating the effect of YouTubeโs recommender system using counterfactual bots
[PNAS] โ
๐ Paper | ๐ Pre-print |
Media Coverage:
New Scientist |
Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit
[ICWSM 2024] โ
๐ Paper |
Tube2Vec: Social and Semantic Embeddings of YouTube Channelsโ
[ICWSM 2024] โ
๐ Paper | ๐๏ธ Code |
2023
Deplatforming did not decrease Parler usersโ activity on fringe social media
[PNAS Nexus] โ
๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
The Amplification Paradox in Recommender Systems
[ICWSM 2023] โ
๐ Pre-print | ๐ Pre-print | ๐ฆ Twitter Thread | ๐๏ธ Code |
Automated Content Moderation Increases Adherence to Community Guidelines
[TheWebConf 2023] โ
๐ Paper | ๐ Pre-print |
Quotatives Indicate Decline in Objectivity in US Political News
[ICWSM 2023] โ
๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
[ICWSM 2023] โ
๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
Understanding Online Migration Decisions Following the Banning of Radical Communities
[WebSci 2023] โ
๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
2022
Post approvals in online communities
[ICWSM 2022] โ
๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread | ๐น Presentation | ๐ Poster | ๐ Blog post |
Analyzing the Sleeping Giants Activism Model in Brazilโ
[WebSci 2022] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and data | ๐ฆ Twitter Thread |
Media Coverage:
Tech Policy Press |
Characterizing Alternative Monetization Strategies on YouTube
[CSCW 2022] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
The Verge |
FastCompany |
What do fact checkers fact-check when?
[MEDIATE Workshop @ ICWSM] โ
๐ Pre-print | ๐ฆ Twitter Thread | ๐๏ธ Data and Code |
2021
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
[Nature Scientific Reports] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
๐ฉ๐ช Wikimedia |
New Scientist |
Deep neural network-estimated electrocardiographic age as a mortality predictor
[Nature Communications] โ
๐ Paper | ๐๏ธ Data 1 | ๐๏ธ Data 2 | ๐๏ธ Data 3 | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
๐ง๐ท veja |
Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTubeโ
[WebSci 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ๏ธ Data | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage:
New Scientist |
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
๐ Best Paper Honorable Mention Award
Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
[CSCW 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage:
WIRED |
The Washington Post |
Time |
The Conversation |
The Brink |
NBC News |
NBC News |
๐ง๐ท Manual do Usuรกrio |
๐ช๐ธ El Paรญs |
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐น Presentation | ๐ฆ Twitter Post |
The Evolution of the Manosphere Across the Web
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐น Presentation | ๐ฆ Twitter Thread |
Media Coverage:
The Atlantic |
๐ง๐ท Folha de Sรฃo Paulo |
๐ช๐ธ Newtral |
๐จ๐ฆ La Presse |
๐ฉ๐ช NDR |
๐ฉ๐ช Krautreporter |
๐ฉ๐ช DER SPIEGEL |
๐ง๐ท TAB Uol |
Newsweek |
MIT Tech Review |
๐ช๐ธ El Paรญs |
Daily Mail |
๐จ๐ญBeobachter |
2020
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study
[Nature Communications] โ
๐ Paper | ๐๏ธ Code | ๐๏ธ Data | ๐น Models | ๐ฆ Twitter Thread |
Media Coverage:
Medical News |
๐ธ๐ช Forskning |
๐ 89th most influential paper of 2019 according to ALTMETRIC
Auditing Radicalization Pathways on YouTube
[ACM FAT* 2020] โ
๐ Paper | ๐ Pre-print | ๐ Blog post | ๐น Presentation | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
SLPC |
New York Times |
Tech Crunch |
๐ง๐ท piauรญ |
๐จ๐ญNZZ |
MIT Tech Review |
Fox Business |
๐ช๐ธ El Diario |
WIRED |
VentureBeat |
The Verge |
Rolling Stone |
๐ง๐ท Nexo Jornal |
๐ฉ๐ช Netzpolitik |
NBC News |
๐ซ๐ท Le Big Data |
๐ฎ๐ช Irish Times |
๐ฉ๐ช Deutschlandfunk |
VICE |
2019
Message Distortion in Information Cascades
[TheWebConf 2019] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code/Data | โถ๏ธ Slides | ๐น๏ธ Demo | ๐ Poster |
Media Coverage:
WCSJ2019 |
2018
Characterizing and Detecting Hateful Users on Twitter
[ICWSM 2018] โ
๐ Paper | ๐ Pre-print (extended) | ๐๏ธ Code | ๐ Data | โถ๏ธ Slides | ๐ Poster |
Pre-prints
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Scienceโ
[preprint] โ
๐ Paper |
Can Language Models Recognize Convincing Arguments?โ
[preprint] โ
๐ Pre-print |
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialโ
[preprint] โ
๐ Pre-print |
Media Coverage:
New Scientist |
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Themโ
[preprint] โ
๐ Pre-print |
Prevalence and prevention of large language model use in crowd workโ
[preprint] โ
๐ Pre-print |
Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality
[preprint] โ
๐ Pre-print |
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasksโ
[preprint] โ
๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
Media Coverage:
The Register |
Tech Crunch |
Tech Crunch |
Tech Crunch |
Platformer |
mint |
๐ฎ๐น Linkiesta |
Import AI |
Futurism |
๐ซ๐ท Frandroid |
Tech Crunch |
๐ซ๐ท Courrier International |
Bloomberg |
๐ช๐ฌ Al-Masry Al-Youm |
Technology Review |
Causally estimating the effect of YouTubeโs recommender system using counterfactual bots
[PNAS] โ ๐ Paper | ๐ Pre-print |
Media Coverage: New Scientist |
Stranger Danger! Cross-Community Interactions with Fringe Users Increase the Growth of Fringe Communities on Reddit
[ICWSM 2024] โ ๐ Paper |
Tube2Vec: Social and Semantic Embeddings of YouTube Channelsโ
[ICWSM 2024] โ ๐ Paper | ๐๏ธ Code |
Deplatforming did not decrease Parler usersโ activity on fringe social media
[PNAS Nexus] โ ๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
The Amplification Paradox in Recommender Systems
[ICWSM 2023] โ ๐ Pre-print | ๐ Pre-print | ๐ฆ Twitter Thread | ๐๏ธ Code |
Automated Content Moderation Increases Adherence to Community Guidelines
[TheWebConf 2023] โ ๐ Paper | ๐ Pre-print |
Quotatives Indicate Decline in Objectivity in US Political News
[ICWSM 2023] โ ๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
Spillover of Antisocial Behavior from Fringe Platforms: The Unintended Consequences of Community Banning
[ICWSM 2023] โ ๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
Understanding Online Migration Decisions Following the Banning of Radical Communities
[WebSci 2023] โ ๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread |
2022
Post approvals in online communities
[ICWSM 2022] โ
๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread | ๐น Presentation | ๐ Poster | ๐ Blog post |
Analyzing the Sleeping Giants Activism Model in Brazilโ
[WebSci 2022] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and data | ๐ฆ Twitter Thread |
Media Coverage:
Tech Policy Press |
Characterizing Alternative Monetization Strategies on YouTube
[CSCW 2022] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
The Verge |
FastCompany |
What do fact checkers fact-check when?
[MEDIATE Workshop @ ICWSM] โ
๐ Pre-print | ๐ฆ Twitter Thread | ๐๏ธ Data and Code |
2021
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
[Nature Scientific Reports] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
๐ฉ๐ช Wikimedia |
New Scientist |
Deep neural network-estimated electrocardiographic age as a mortality predictor
[Nature Communications] โ
๐ Paper | ๐๏ธ Data 1 | ๐๏ธ Data 2 | ๐๏ธ Data 3 | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
๐ง๐ท veja |
Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTubeโ
[WebSci 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ๏ธ Data | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage:
New Scientist |
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
๐ Best Paper Honorable Mention Award
Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
[CSCW 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage:
WIRED |
The Washington Post |
Time |
The Conversation |
The Brink |
NBC News |
NBC News |
๐ง๐ท Manual do Usuรกrio |
๐ช๐ธ El Paรญs |
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐น Presentation | ๐ฆ Twitter Post |
The Evolution of the Manosphere Across the Web
[ICWSM 2021] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐น Presentation | ๐ฆ Twitter Thread |
Media Coverage:
The Atlantic |
๐ง๐ท Folha de Sรฃo Paulo |
๐ช๐ธ Newtral |
๐จ๐ฆ La Presse |
๐ฉ๐ช NDR |
๐ฉ๐ช Krautreporter |
๐ฉ๐ช DER SPIEGEL |
๐ง๐ท TAB Uol |
Newsweek |
MIT Tech Review |
๐ช๐ธ El Paรญs |
Daily Mail |
๐จ๐ญBeobachter |
2020
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study
[Nature Communications] โ
๐ Paper | ๐๏ธ Code | ๐๏ธ Data | ๐น Models | ๐ฆ Twitter Thread |
Media Coverage:
Medical News |
๐ธ๐ช Forskning |
๐ 89th most influential paper of 2019 according to ALTMETRIC
Auditing Radicalization Pathways on YouTube
[ACM FAT* 2020] โ
๐ Paper | ๐ Pre-print | ๐ Blog post | ๐น Presentation | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
SLPC |
New York Times |
Tech Crunch |
๐ง๐ท piauรญ |
๐จ๐ญNZZ |
MIT Tech Review |
Fox Business |
๐ช๐ธ El Diario |
WIRED |
VentureBeat |
The Verge |
Rolling Stone |
๐ง๐ท Nexo Jornal |
๐ฉ๐ช Netzpolitik |
NBC News |
๐ซ๐ท Le Big Data |
๐ฎ๐ช Irish Times |
๐ฉ๐ช Deutschlandfunk |
VICE |
2019
Message Distortion in Information Cascades
[TheWebConf 2019] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code/Data | โถ๏ธ Slides | ๐น๏ธ Demo | ๐ Poster |
Media Coverage:
WCSJ2019 |
2018
Characterizing and Detecting Hateful Users on Twitter
[ICWSM 2018] โ
๐ Paper | ๐ Pre-print (extended) | ๐๏ธ Code | ๐ Data | โถ๏ธ Slides | ๐ Poster |
Pre-prints
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Scienceโ
[preprint] โ
๐ Paper |
Can Language Models Recognize Convincing Arguments?โ
[preprint] โ
๐ Pre-print |
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialโ
[preprint] โ
๐ Pre-print |
Media Coverage:
New Scientist |
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Themโ
[preprint] โ
๐ Pre-print |
Prevalence and prevention of large language model use in crowd workโ
[preprint] โ
๐ Pre-print |
Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality
[preprint] โ
๐ Pre-print |
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasksโ
[preprint] โ
๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
Media Coverage:
The Register |
Tech Crunch |
Tech Crunch |
Tech Crunch |
Platformer |
mint |
๐ฎ๐น Linkiesta |
Import AI |
Futurism |
๐ซ๐ท Frandroid |
Tech Crunch |
๐ซ๐ท Courrier International |
Bloomberg |
๐ช๐ฌ Al-Masry Al-Youm |
Technology Review |
Post approvals in online communities
[ICWSM 2022] โ ๐ Paper | ๐ Pre-print | ๐ฆ Twitter Thread | ๐น Presentation | ๐ Poster | ๐ Blog post |
Analyzing the Sleeping Giants Activism Model in Brazilโ
[WebSci 2022] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code and data | ๐ฆ Twitter Thread |
Media Coverage: Tech Policy Press |
Characterizing Alternative Monetization Strategies on YouTube
[CSCW 2022] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage: The Verge | FastCompany |
What do fact checkers fact-check when?
[MEDIATE Workshop @ ICWSM] โ ๐ Pre-print | ๐ฆ Twitter Thread | ๐๏ธ Data and Code |
Volunteer contributions to Wikipedia increased during COVID-19 mobility restrictions
[Nature Scientific Reports] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage: ๐ฉ๐ช Wikimedia | New Scientist |
Deep neural network-estimated electrocardiographic age as a mortality predictor
[Nature Communications] โ ๐ Paper | ๐๏ธ Data 1 | ๐๏ธ Data 2 | ๐๏ธ Data 3 | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage: ๐ง๐ท veja |
Are Anti-Feminist Communities Gateways to the Far Right? Evidence from Reddit and YouTubeโ
[WebSci 2021] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ๏ธ Data | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage: New Scientist |
YouNiverse: Large-Scale Channel and Video Metadata from English-Speaking YouTube
[ICWSM 2021] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
๐ Best Paper Honorable Mention Award
Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels
[CSCW 2021] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐ Blog post | ๐น Presentation | ๐ฆ Twitter Post |
Media Coverage: WIRED | The Washington Post | Time | The Conversation | The Brink | NBC News | NBC News | ๐ง๐ท Manual do Usuรกrio | ๐ช๐ธ El Paรญs |
Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis
[ICWSM 2021] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code and Data | ๐น Presentation | ๐ฆ Twitter Post |
The Evolution of the Manosphere Across the Web
[ICWSM 2021] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code | ๐๏ธ Data | ๐น Presentation | ๐ฆ Twitter Thread |
Media Coverage: The Atlantic | ๐ง๐ท Folha de Sรฃo Paulo | ๐ช๐ธ Newtral | ๐จ๐ฆ La Presse | ๐ฉ๐ช NDR | ๐ฉ๐ช Krautreporter | ๐ฉ๐ช DER SPIEGEL | ๐ง๐ท TAB Uol | Newsweek | MIT Tech Review | ๐ช๐ธ El Paรญs | Daily Mail | ๐จ๐ญBeobachter |
2020
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study
[Nature Communications] โ
๐ Paper | ๐๏ธ Code | ๐๏ธ Data | ๐น Models | ๐ฆ Twitter Thread |
Media Coverage:
Medical News |
๐ธ๐ช Forskning |
๐ 89th most influential paper of 2019 according to ALTMETRIC
Auditing Radicalization Pathways on YouTube
[ACM FAT* 2020] โ
๐ Paper | ๐ Pre-print | ๐ Blog post | ๐น Presentation | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage:
SLPC |
New York Times |
Tech Crunch |
๐ง๐ท piauรญ |
๐จ๐ญNZZ |
MIT Tech Review |
Fox Business |
๐ช๐ธ El Diario |
WIRED |
VentureBeat |
The Verge |
Rolling Stone |
๐ง๐ท Nexo Jornal |
๐ฉ๐ช Netzpolitik |
NBC News |
๐ซ๐ท Le Big Data |
๐ฎ๐ช Irish Times |
๐ฉ๐ช Deutschlandfunk |
VICE |
2019
Message Distortion in Information Cascades
[TheWebConf 2019] โ
๐ Paper | ๐ Pre-print | ๐๏ธ Code/Data | โถ๏ธ Slides | ๐น๏ธ Demo | ๐ Poster |
Media Coverage:
WCSJ2019 |
2018
Characterizing and Detecting Hateful Users on Twitter
[ICWSM 2018] โ
๐ Paper | ๐ Pre-print (extended) | ๐๏ธ Code | ๐ Data | โถ๏ธ Slides | ๐ Poster |
Pre-prints
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Scienceโ
[preprint] โ
๐ Paper |
Can Language Models Recognize Convincing Arguments?โ
[preprint] โ
๐ Pre-print |
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialโ
[preprint] โ
๐ Pre-print |
Media Coverage:
New Scientist |
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Themโ
[preprint] โ
๐ Pre-print |
Prevalence and prevention of large language model use in crowd workโ
[preprint] โ
๐ Pre-print |
Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality
[preprint] โ
๐ Pre-print |
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasksโ
[preprint] โ
๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
Media Coverage:
The Register |
Tech Crunch |
Tech Crunch |
Tech Crunch |
Platformer |
mint |
๐ฎ๐น Linkiesta |
Import AI |
Futurism |
๐ซ๐ท Frandroid |
Tech Crunch |
๐ซ๐ท Courrier International |
Bloomberg |
๐ช๐ฌ Al-Masry Al-Youm |
Technology Review |
Automatic Diagnosis of the Short-Duration 12-Lead ECG using a Deep Neural Network: the CODE Study
[Nature Communications] โ ๐ Paper | ๐๏ธ Code | ๐๏ธ Data | ๐น Models | ๐ฆ Twitter Thread |
Media Coverage: Medical News | ๐ธ๐ช Forskning |
๐ 89th most influential paper of 2019 according to ALTMETRIC
Auditing Radicalization Pathways on YouTube
[ACM FAT* 2020] โ ๐ Paper | ๐ Pre-print | ๐ Blog post | ๐น Presentation | ๐๏ธ Code | ๐ฆ Twitter Thread |
Media Coverage: SLPC | New York Times | Tech Crunch | ๐ง๐ท piauรญ | ๐จ๐ญNZZ | MIT Tech Review | Fox Business | ๐ช๐ธ El Diario | WIRED | VentureBeat | The Verge | Rolling Stone | ๐ง๐ท Nexo Jornal | ๐ฉ๐ช Netzpolitik | NBC News | ๐ซ๐ท Le Big Data | ๐ฎ๐ช Irish Times | ๐ฉ๐ช Deutschlandfunk | VICE |
Message Distortion in Information Cascades
[TheWebConf 2019] โ ๐ Paper | ๐ Pre-print | ๐๏ธ Code/Data | โถ๏ธ Slides | ๐น๏ธ Demo | ๐ Poster |
Media Coverage: WCSJ2019 |
2018
Characterizing and Detecting Hateful Users on Twitter
[ICWSM 2018] โ
๐ Paper | ๐ Pre-print (extended) | ๐๏ธ Code | ๐ Data | โถ๏ธ Slides | ๐ Poster |
Pre-prints
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Scienceโ
[preprint] โ
๐ Paper |
Can Language Models Recognize Convincing Arguments?โ
[preprint] โ
๐ Pre-print |
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialโ
[preprint] โ
๐ Pre-print |
Media Coverage:
New Scientist |
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Themโ
[preprint] โ
๐ Pre-print |
Prevalence and prevention of large language model use in crowd workโ
[preprint] โ
๐ Pre-print |
Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality
[preprint] โ
๐ Pre-print |
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasksโ
[preprint] โ
๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
Media Coverage:
The Register |
Tech Crunch |
Tech Crunch |
Tech Crunch |
Platformer |
mint |
๐ฎ๐น Linkiesta |
Import AI |
Futurism |
๐ซ๐ท Frandroid |
Tech Crunch |
๐ซ๐ท Courrier International |
Bloomberg |
๐ช๐ฌ Al-Masry Al-Youm |
Technology Review |
Characterizing and Detecting Hateful Users on Twitter
[ICWSM 2018] โ ๐ Paper | ๐ Pre-print (extended) | ๐๏ธ Code | ๐ Data | โถ๏ธ Slides | ๐ Poster |
Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Scienceโ
[preprint] โ ๐ Paper |
Can Language Models Recognize Convincing Arguments?โ
[preprint] โ ๐ Pre-print |
On the Conversational Persuasiveness of Large Language Models: A Randomized Controlled Trialโ
[preprint] โ ๐ Pre-print |
Media Coverage: New Scientist |
Deplatforming Norm-Violating Influencers on Social Media Reduces Overall Online Attention Toward Themโ
[preprint] โ ๐ Pre-print |
Prevalence and prevention of large language model use in crowd workโ
[preprint] โ ๐ Pre-print |
Protection from Evil and Good: The Differential Effects of Page Protection on Wikipedia Article Quality
[preprint] โ ๐ Pre-print |
Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production Tasksโ
[preprint] โ ๐ Paper | ๐ฆ Twitter Thread | ๐๏ธ Code |
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