Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

When language affects cognition and when it does not: An analysis of grammatical gender and classification

Maria D Sera, Chryle Elieff, James Forbes, Melissa Clark Burch, Wanda Rodríguez, and Diane Poulin Dubois. 2002 · 2002

Earlier work this paper cites.

Utility data annotation with Amazon Mechanical Turk. In 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops . 1–8

Alexander Sorokin and David Forsyth. 2008 · 2008

Earlier work this paper cites.

Amazon mechanical turk for subjectivity word sense disambiguation. In Proceedings of the NAACL HLT 2010 workshop on creating speech and language data with Amazon’s Mechanical Turk . 195–203

Cem Akkaya, Alexander Conrad, Janyce Wiebe, and Rada Mihalcea. 2010 · 2010

Earlier work this paper cites.

Like it or not: A survey of twitter sentiment analysis methods

Anastasia Giachanou and Fabio Crestani. 2016 · 2016

Earlier work this paper cites.

Semeval-2016 task 6: Detecting stance in tweets. In Proceedings of the 10th international workshop on semantic evaluation (SemEval-2016) . 31–41

Saif Mohammad, Svetlana Kiritchenko, Parinaz Sobhani, Xiaodan Zhu, and Colin Cherry. 2016 · 2016

Earlier work this paper cites.

Governing hate speech by means of counterspeech on Facebook. In 66th ica annual conference, at fukuoka, japan . 1–23

Carla Schieb and Mike Preuss. 2016 · 2016

Earlier work this paper cites.

Bot conversations are different: leveraging network metrics for bot detection in twitter. In 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) . IEEE, 825–832

David M Beskow and Kathleen M Carley. 2018 · 2018

Earlier work this paper cites.

A survey on automatic detection of hate speech in text

Paula Fortuna and Sérgio Nunes. 2018 · 2018

Earlier work this paper cites.

A challenging dataset for bias detection: the case of the crisis in the ukraine. In Social, Cultural, and Behavioral Modeling: 12th International Conference, SBP-BRiMS 2019, Washington, DC, USA, July 9–12, 2019, Proceedings 12 . Springer, 173–183

Andres Cremisini, Daniela Aguilar, and Mark A Finlayson. 2019 · 2019

Earlier work this paper cites.

Thou shalt not hate: Countering online hate speech. In Proceedings of the international AAAI conference on web and social media , Vol. 13. 369–380

Binny Mathew, Punyajoy Saha, Hardik Tharad, Subham Rajgaria, Prajwal Singhania, Suman Kalyan Maity, Pawan Goyal, and Animesh Mukherjee. 2019 · 2019

Earlier work this paper cites.

SemEval-2017 task 4: Sentiment analysis in Twitter

Original

Sara Rosenthal, Noura Farra, and Preslav Nakov. 2019 · 2019

Earlier work this paper cites.

Detecting social bots on facebook in an information veracity context. In Proceedings of the international AAAI conference on web and social media , Vol. 13. 463–472

Giovanni C Santia, Munif Ishad Mujib, and Jake Ryland Williams. 2019 · 2019

Earlier work this paper cites.

Unsupervised machine learning for networking: Techniques, applications and research challenges

Muhammad Usama, Junaid Qadir, Aunn Raza, Hunain Arif, Kok-Lim Alvin Yau, Yehia Elkhatib, Amir Hussain, and Ala Al-Fuqaha. 2019 · 2019

Earlier work this paper cites.

The emergence of deepfake technology: A review

Mika Westerlund. 2019 · 2019

Earlier work this paper cites.

Stance detection: A survey

Dilek Küçük and Fazli Can. 2020 · 2020

Earlier work this paper cites.

A survey on large-scale machine learning

Meng Wang, Weijie Fu, Xiangnan He, Shijie Hao, and Xindong Wu. 2020 · 2020

Earlier work this paper cites.

Social media identity deception detection: a survey

Ahmed Alharbi, Hai Dong, Xun Yi, Zahir Tari, and Ibrahim Khalil. 2021 · 2021

Cited alongside, same era.

Latent hatred: A benchmark for understanding implicit hate speech

Original

Mai ElSherief, Caleb Ziems, David Muchlinski, Vaishnavi Anupindi, Jordyn Seybolt, Munmun De Choudhury, and Diyi Yang. 2021 · 2021

Cited alongside, same era.

TweepFake: About detecting deepfake tweets

Tiziano Fagni, Fabrizio Falchi, Margherita Gambini, Antonio Martella, and Maurizio Tesconi. 2021 · 2021

Cited alongside, same era.

Stance detection in COVID-19 tweets. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Long Papers) , Vol. 1

Kyle Glandt, Sarthak Khanal, Yingjie Li, Doina Caragea, and Cornelia Caragea. 2021 · 2021

Cited alongside, same era.

Racism is a virus: Anti-Asian hate and counterspeech in social media during the COVID-19 crisis. In Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining . 90–94

ChatGPT and the future of medical writing

Som Biswas. 2023 · 2023

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ChatGPT goes to law school

Jonathan H Choi, Kristin E Hickman, Amy Monahan, and Daniel Schwarcz. 2023 · 2023

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Chatgpt outperforms crowd-workers for text-annotation tasks

Original

Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli. 2023 · 2023

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How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection

Original

Biyang Guo, Xin Zhang, Ziyuan Wang, Minqi Jiang, Jinran Nie, Yuxuan Ding, Jianwei Yue, and Yupeng Wu. 2023 · 2023

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Seeing ChatGPT Through Students’ Eyes: An Analysis of TikTok Data

Original

Anna-Carolina Haensch, Sarah Ball, Markus Herklotz, and Frauke Kreuter. 2023 · 2023

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