activity
20162022
most citedThis Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News

48 citations · 141 across the 19 of their papers we have counts for

collaborators

21 papers

cs.CY2022

SciLander: Mapping the Scientific News Landscape

Maurício Gruppi, Panayiotis Smeros, Sibel Adalı +2

The COVID-19 pandemic has fueled the spread of misinformation on social media and the Web as a whole. The phenomenon dubbed `infodemic' has taken the challenges of information vera…

cs.CY2022★ 2 cited

NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems

Benjamin D. Horne, Maurício Gruppi, Kenneth Joseph +3

In this paper, we present a dataset of over 1.4M online news articles from 313 local U.S. news outlets published over 20 months (between April 4th, 2020 and December 31st, 2021). T…

cs.CL2022

NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Maurício Gruppi, Benjamin D. Horne, Sibel Adalı

In this paper, we present the fifth installment of the NELA-GT datasets, NELA-GT-2022. The dataset contains 1,778,361 articles from 361 outlets between January 1st, 2022 and Decemb…

cs.CY2021★ 23 cited

NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Maurício Gruppi, Benjamin D. Horne, Sibel Adalı

In this paper, we present an updated version of the NELA-GT-2019 dataset, entitled NELA-GT-2020. NELA-GT-2020 contains nearly 1.8M news articles from 519 sources collected between…

cs.CL2021

Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks

Maurício Gruppi, Sibel Adalı, Pin-Yu Chen

The use of language is subject to variation over time as well as across social groups and knowledge domains, leading to differences even in the monolingual scenario. Such variation…

cs.SI2021★ 2 cited

Tell Me Who Your Friends Are: Using Content Sharing Behavior for News Source Veracity Detection

Maurício Gruppi, Benjamin D. Horne, Sibel Adalı

Stopping the malicious spread and production of false and misleading news has become a top priority for researchers. Due to this prevalence, many automated methods for detecting lo…

cs.CL2020★ 4 cited

Do All Good Actors Look The Same? Exploring News Veracity Detection Across The U.S. and The U.K

Benjamin D. Horne, Maurício Gruppi, Sibel Adalı

A major concern with text-based news veracity detection methods is that they may not generalize across countries and cultures. In this short paper, we explicitly test news veracity…

cs.CY2020

NELA-GT-2019: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Maurício Gruppi, Benjamin D. Horne, Sibel Adalı

In this paper, we present an updated version of the NELA-GT-2018 dataset (Nørregaard, Horne, and Adalı 2019), entitled NELA-GT-2019. NELA-GT-2019 contains 1.12M news articles from…

cs.CY2019

Trustworthy Misinformation Mitigation with Soft Information Nudging

Benjamin D. Horne, Maurício Gruppi, Sibel Adalı

Research in combating misinformation reports many negative results: facts may not change minds, especially if they come from sources that are not trusted. Individuals can disregard…

cs.CY2019

Rating Reliability and Bias in News Articles: Does AI Assistance Help Everyone?

Benjamin D. Horne, Dorit Nevo, John O'Donovan +2

With the spread of false and misleading information in current news, many algorithmic tools have been introduced with the aim of assessing bias and reliability in written content.…

cs.CY2019★ 38 cited

NELA-GT-2018: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Jeppe Norregaard, Benjamin D. Horne, Sibel Adali

In this paper, we present a dataset of 713k articles collected between 02/2018-11/2018. These articles are collected directly from 194 news and media outlets including mainstream,…

cs.CY2019★ 9 cited

Different Spirals of Sameness: A Study of Content Sharing in Mainstream and Alternative Media

Benjamin D. Horne, Jeppe Norregaard, Sibel Adali

In this paper, we analyze content sharing between news sources in the alternative and mainstream media using a dataset of 713K articles and 194 sources. We find that content sharin…

cs.IR2018

Models for Predicting Community-Specific Interest in News Articles

Benjamin D. Horne, William Dron, Sibel Adali

In this work, we ask two questions: 1. Can we predict the type of community interested in a news article using only features from the article content? and 2. How well do these mode…

cs.SI2018

Is Uncertainty Always Bad?: Effect of Topic Competence on Uncertain Opinions

Jin-Hee Cho, Sibel Adalı

The proliferation of information disseminated by public/social media has made decision-making highly challenging due to the wide availability of noisy, uncertain, or unverified inf…

cs.CL2018★ 3 cited

An Exploration of Unreliable News Classification in Brazil and The U.S

Mauricio Gruppi, Benjamin D. Horne, Sibel Adali

The propagation of unreliable information is on the rise in many places around the world. This expansion is facilitated by the rapid spread of information and anonymity granted by…

cs.CY2018★ 2 cited

An Exploration of Verbatim Content Republishing by News Producers

Benjamin D. Horne, Sibel Adali

In today's news ecosystem, news sources emerge frequently and can vary widely in intent. This intent can range from benign to malicious, with many tactics being used to achieve the…

cs.CY2018★ 2 cited

Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape

Benjamin D. Horne, William Dron, Sara Khedr +1

The complexity and diversity of today's media landscape provides many challenges for researchers studying news producers. These producers use many different strategies to get their…

cs.SI2017

Identifying the social signals that drive online discussions: A case study of Reddit communities

Benjamin D. Horne, Sibel Adali, Sujoy Sikdar

Increasingly people form opinions based on information they consume on online social media. As a result, it is crucial to understand what type of content attracts people's attentio…

cs.SI2017★ 48 cited

This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News

Benjamin D. Horne, Sibel Adali

The problem of fake news has gained a lot of attention as it is claimed to have had a significant impact on 2016 US Presidential Elections. Fake news is not a new problem and its s…

cs.SI2017

The Impact of Crowds on News Engagement: A Reddit Case Study

Benjamin D. Horne, Sibel Adali

Today, users are reading the news through social platforms. These platforms are built to facilitate crowd engagement, but not necessarily disseminate useful news to inform the mass…

cs.GT2016★ 8 cited

Mechanism Design for Multi-Type Housing Markets

Sibel Adali, Sujoy Sikdar, Lirong Xia

We study multi-type housing markets, where there are types of items, each agent is initially endowed one item of each type, and the goal is to design mechanisms without mo…