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20172026
most citedExposing Paid Opinion Manipulation Trolls

43 citations · 169 across the 33 of their papers we have counts for

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Showing 2019Show all

9 papers · 1 filter

cs.CL2019

A Context-Aware Approach for Detecting Check-Worthy Claims in Political Debates

Pepa Gencheva, Ivan Koychev, Lluís Màrquez +2

In the context of investigative journalism, we address the problem of automatically identifying which claims in a given document are most worthy and should be prioritized for fact-…

cs.CL2019★ 2 cited

In Search of Credible News

Momchil Hardalov, Ivan Koychev, Preslav Nakov

We study the problem of finding fake online news. This is an important problem as news of questionable credibility have recently been proliferating in social media at an alarming s…

cs.CL2019★ 2 cited

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

Yoan Dinkov, Ahmed Ali, Ivan Koychev +1

We address the problem of predicting the leading political ideology, i.e., left-center-right bias, for YouTube channels of news media. Previous work on the problem has focused excl…

cs.CL2019

Detecting Deception in Political Debates Using Acoustic and Textual Features

Daniel Kopev, Ahmed Ali, Ivan Koychev +1

We present work on deception detection, where, given a spoken claim, we aim to predict its factuality. While previous work in the speech community has relied on recordings from sta…

cs.CL2019★ 6 cited

Beyond English-Only Reading Comprehension: Experiments in Zero-Shot Multilingual Transfer for Bulgarian

Momchil Hardalov, Ivan Koychev, Preslav Nakov

Recently, reading comprehension models achieved near-human performance on large-scale datasets such as SQuAD, CoQA, MS Macro, RACE, etc. This is largely due to the release of pre-t…

cs.CL2019

Fact-Checking Meets Fauxtography: Verifying Claims About Images

Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev

The recent explosion of false claims in social media and on the Web in general has given rise to a lot of manual fact-checking initiatives. Unfortunately, the number of claims that…