The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

Hofmann, Valentin; Schütze, Hinrich; Pierrehumbert, Janet B.

doi:10.1609/icwsm.v16i1.19377

Cited by 7 publications

(3 citation statements)

References 48 publications

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“…In this section, we provide various statistical analysis of the dataset in order to validate the various attributes of the data, discuss their variation with respect to time and location, and analyze the correlation between the features. These descriptive statistics provide a summary of the central tendency, variability, and distribution of each variable in the dataset (Hofmann et al, 2022). (Heiny, 2022).…”

Section: Resultsmentioning

confidence: 99%

Exploring wireless connectivity and network performance: A dataset of 4G LTE user equipment measurements

Garba,

Ambursa,

Baguda

et al. 2024

SWJ

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Wireless networks, especially 4G LTE technology, have revolutionized the way we communicate and access information (Dike & Iddy, 2023). The performance and reliability of these networks, specific to the network operator in this study, are critical factors in ensuring a seamless user experience. However, the understanding of network behavior in urban environments, characterized by high population densities and diverse mobility patterns, remains a challenging task. This paper presents a dataset comprising 4G LTE user equipment measurements collected along Sabon-Gari Market, located in Kano, Nigeria, using a major 4G LTE network operator. The dataset is the result of a comprehensive data collection effort aimed at understanding wireless connectivity and network performance within this urban market environment. The primary objective is to share and make available this dataset to the research community, fostering further investigations and advancements in the field of mobile communication technologies. The work undertook an extensive data collection campaign in Sabon-Gari Market using a major 4G LTE network operator. The G-NetTrack Pro Android application was utilized to capture user equipment measurements during a three-week period, encompassing both morning and evening periods. The aim is to provide valuable insights into the wireless connectivity and network performance characteristics of Sabon-Gari Market using a major 4G LTE network operator. Researchers and practitioners can leverage this dataset to analyze network behavior, study mobility patterns, investigate the impact of various factors on network performance, and develop innovative solutions to enhance wireless communication technologies in similar urban environments.

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Section: Resultsmentioning

confidence: 99%

Exploring wireless connectivity and network performance: A dataset of 4G LTE user equipment measurements

Garba,

Ambursa,

Baguda

et al. 2024

SWJ

View full text Add to dashboard Cite

show abstract

“…Building on the approach of Ribeiro et al ( 2020) and Röttger et al (2021), we had the goal of designing a balanced diagnostic dataset for probing how well models capture the meanings of scalar adverbs. Our primary dataset consists of 960 items, which are based on posts from the year 2015 in the Reddit politosphere dataset introduced in Hofmann et al (2022). This slice represents about 6GB of data from a range of political subreddits (e.g., r/conservative or r/anarchist).…”

Section: Methodsmentioning

confidence: 99%

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

2023

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As researchers achieve unprecedented technological breakthroughs in natural language processing, the need to understand the systems underlying these advances is more pertinent than ever. BlackboxNLP, now in its sixth iteration, has played an important role in bringing together scholars from a diverse range of backgrounds in order to rigorously study the behavior, representations, and computations of "black-box" neural network models. Our workshop showcases original, cutting-edge research on topics including but not limited to:• analysis of representations via probing and related techniques;• explanation methods such as feature attribution, free-text explanations, or structured explanations; • interdisciplinary methods (e.g., from neuroscience, cognitive science, computer vision, etc.); • interpretable architectures and neural network modules;• mechanistic interpretability and reverse engineering of neural computations; • open-source tools for analysis, visualization, and/or explanation; • opinions about the state of interpretability and explainable NLP; and • targeted evaluations using simplified or formal languages.The sixth BlackboxNLP workshop will be held in Singapore on December 7, 2023, hosted by the Conference on Empirical Methods in Natural Language Processing (EMNLP). 29 full papers and 17 non-archival extended abstracts were accepted for in-person and online presentations, from a total of 66 submissions. This year's workshop will also feature 19 papers on interpretability from the Findings of the ACL: EMNLP 2023, as well as two invited talks and a panel discussion with experts in the field.BlackboxNLP 2023 would not have been possible without the high-quality peer reviews submitted by our program committee, as well as the logistical assistance provided by the EMNLP organizing committee. We gratefully acknowledge financial support from our sponsors, Google and Apple. Our invited speakers, panelists, authors, and presenters have allowed us to put together an outstanding program for all participants to enjoy.Welcome to BlackboxNLP! We look forward to seeing you in Singapore and online.

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“…Its diversity (Weninger, Zhu, and Han 2013) and active participation (Choi et al 2015) make Reddit an excellent source for data collection (Jamnik and Lane 2019), particularly on geopolitical issues like the Israel-Hamas conflict. Subreddits allow for focused data gathering, providing insights into public opinion and discourse (Hofmann, Schütze, and Pierrehumbert 2022;Petruzzellis et al 2023). Conversations on Reddit, including submissions and comments, offer valuable, detailed discussions and diverse viewpoints, contributing significantly to research on complex social and political topics by providing real-time engagement and sentiment analysis (Park et al 2021;He, May, and Lerman 2023).…”

Section: Introductionmentioning

confidence: 99%

IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict

Chen,

He,

Burghardt

et al. 2024

ICWSM

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The conflict between Israel and Palestinians significantly escalated after the October 7, 2023 Hamas attack, capturing global attention. To understand the public discourse on this conflict, we present a meticulously compiled dataset-IsamasRed-comprising nearly 400,000 conversations and over 8 million comments from Reddit, spanning from August 2023 to November 2023. We introduce an innovative keyword extraction framework leveraging a large language model to effectively identify pertinent keywords, ensuring a comprehensive data collection. Our initial analysis on the dataset, examining topics, controversy, emotional and moral language trends over time, highlights the emotionally charged and complex nature of the discourse. This dataset aims to enrich the understanding of online discussions, shedding light on the complex interplay between ideology, sentiment, and community engagement in digital spaces.

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The Reddit Politosphere: A Large-Scale Text and Network Resource of Online Political Discourse

Cited by 7 publications

References 48 publications

Exploring wireless connectivity and network performance: A dataset of 4G LTE user equipment measurements

Exploring wireless connectivity and network performance: A dataset of 4G LTE user equipment measurements

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

IsamasRed: A Public Dataset Tracking Reddit Discussions on Israel-Hamas Conflict

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