Effi Levi
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View article: Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations
Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations Open
We introduce a novel multi-labeled scheme for joint annotation of hate and counter-hate speech in social media conversations, categorizing hate and counter-hate messages into thematic and rhetorical dimensions. The thematic categories outl…
View article: IsraParlTweet: The Israeli Parliamentary and Twitter Resource
IsraParlTweet: The Israeli Parliamentary and Twitter Resource Open
We introduce IsraParlTweet, a new linked corpus of Hebrew-language parliamentary discussions from the Knesset (Israeli Parliament) between the years 1992-2023 and Twitter posts made by Members of the Knesset between the years 2008-2023, co…
View article: Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora Open
Media Storms, dramatic outbursts of attention to a story, are central components of media dynamics and the attention landscape. Despite their significance, there has been little systematic and empirical research on this concept due to issu…
View article: HOW TO DO THINGS WITH “VALUES”: A CROSS-LINGUISTIC ANALYSIS OF THE MEANINGS AND FUNCTIONS OF A CORE CONCEPT ON TWITTER
HOW TO DO THINGS WITH “VALUES”: A CROSS-LINGUISTIC ANALYSIS OF THE MEANINGS AND FUNCTIONS OF A CORE CONCEPT ON TWITTER Open
The term _values_ is prominent in political discourse. Yet its ubiquity is matched by its vagueness, especially when considering usage among different cultures. Twitter provides a promising venue for exploring the contested political disco…
View article: Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media Open
In this work we propose a novel annotation scheme which factors hate speech\ninto five separate discursive categories. To evaluate our scheme, we construct\na corpus of over 2.9M Twitter posts containing hateful expressions directed at\nJe…
View article: A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement
A Decomposition-Based Approach for Evaluating and Analyzing Inter-Annotator Disagreement Open
We propose a novel method to conceptually decompose an existing annotation into separate levels, allowing the analysis of inter-annotators disagreement in each level separately. We suggest two distinct strategies in order to actualize this…
View article: Detecting Narrative Elements in Informational Text
Detecting Narrative Elements in Informational Text Open
Automatic extraction of narrative elements from text, combining narrative\ntheories with computational models, has been receiving increasing attention\nover the last few years. Previous works have utilized the oral narrative theory\nby Lab…
View article: CompRes: A Dataset for Narrative Structure in News
CompRes: A Dataset for Narrative Structure in News Open
This paper addresses the task of automatically detecting narrative structures in raw texts. Previous works have utilized the oral narrative theory by Labov and Waletzky to identify various narrative elements in personal stories texts. Inst…
View article: Computing Word Classes Using Spectral Clustering
Computing Word Classes Using Spectral Clustering Open
Clustering a lexicon of words is a well-studied problem in natural language processing (NLP). Word clusters are used to deal with sparse data in statistical language processing, as well as features for solving various NLP tasks (text categ…
View article: Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making
Behavior-Based Machine-Learning: A Hybrid Approach for Predicting Human Decision Making Open
A large body of work in behavioral fields attempts to develop models that describe the way people, as opposed to rational agents, make decisions. A recent Choice Prediction Competition (2015) challenged researchers to suggest a model that …
View article: Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference Open
The run time complexity of state-of-the-art inference algorithms in graph-based dependency parsing is super-linear in the number of input words (n). Recently, pruning algorithms for these models have shown to cut a large portion of the gra…