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2019 NAACL NAACL 2019

Not My President: How Names and Titles Frame Political Figures

Abstract

AbstractNaming and titling have been discussed in sociolinguistics as markers of status or solidarity. However, these functions have not been studied on a larger scale or for social media data. We collect a corpus of tweets mentioning presidents of six G20 countries by various naming forms. We show that naming variation relates to stance towards the president in a way that is suggestive of a framing effect mediated by respectfulness. This confirms sociolinguistic theory of naming and titling as markers of status.

🧭 Keyword Pioneer — political framing
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Esther van den Berg , Katharina Korfhage , Josef Ruppenhofer , Michael Wiegand , Katja Markert

Topics

Natural Language Processing > Understanding > Semantic Analysis

Keywords

stance detection social media analysis social media corpus analysis political framing sociolinguistic analysis framing effect naming variation political stance sociolinguistic theory naming pattern
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