Fetching the paper…
Reading the bibliography…
Not everything on the internet is true.
Learning from Neighbours
Venkatesh Bala and Sanjeev Goyal. 1998 · 1998
Earlier work this paper cites.
From Reliable Sources: An Introduction to Historical Methods
Martha C. Howell and William Prevenier. 2001 · 2001
Earlier work this paper cites.
Computing trust from revision history
Honglei Zeng, Maher A. Alhossaini, Li Ding, Richard Fikes, and Deborah L. McGuinness. 2006 · 2006
Earlier work this paper cites.
A content-driven reputation system for the wikipedia
B. Thomas Adler and Luca de Alfaro. 2007 · 2007
Earlier work this paper cites.
Credibility: A multidisciplinary framework
Soo Young Rieh and David R. Danielson. 2007 · 2007
Earlier work this paper cites.
Truth discovery with multiple conflicting information providers on the web
Xiaoxin Yin, Jiawei Han, and Philip S. Yu. 2007 · 2007
Earlier work this paper cites.
Integrating conflicting data: the role of source dependence
Xin Luna Dong, Laure Berti-Equille, and Divesh Srivastava. 2009 · 2009
Earlier work this paper cites.
Mediatory summary generation: Summary-passage extraction for information credibility on the web
Koichi Kaneko, Hideyuki Shibuki, Masahiro Nakano, Rintaro Miyazaki, Madoka Ishioroshi, and Tatsunori Mori. 2009 · 2009
Earlier work this paper cites.
The importance of the internet for journalistic research: A multi-method study of the research performed by journalists working for daily newspapers, radio, television and online
Marcel Machill and Markus Beiler. 2009 · 2009
Earlier work this paper cites.
Construction of text summarization corpus for the credibility of information on the web
Masahiro Nakano, Hideyuki Shibuki, Rintaro Miyazaki, Madoka Ishioroshi, Koichi Kaneko, and Tatsunori Mori. 2010 · 2010
Earlier work this paper cites.
Knowing what to believe (when you already know something)
Jeff Pasternack and Dan Roth. 2010 · 2010
Earlier work this paper cites.
A method for automatically generating a mediatory summary to verify credibility of information on the web
Hideyuki Shibuki, Takahiro Nagai, Masahiro Nakano, Rintaro Miyazaki, Madoka Ishioroshi, and Tatsunori Mori. 2010 · 2010
Earlier work this paper cites.
Cognitive Load Theory
J. Sweller, P. Ayres, and S. Kalyuga. 2011 · 2011
Earlier work this paper cites.
Content-driven trust propagation framework
V.G. Vinod Vydiswaran, ChengXiang Zhai, and Dan Roth. 2011 · 2011
Earlier work this paper cites.
Latent credibility analysis
Jeff Pasternack and Dan Roth. 2013 · 2013
Earlier work this paper cites.
Media Literacy
William James. Potter. 2013 · 2013
Earlier work this paper cites.
Evaluating google as an epistemic tool
Thomas W Simpson. 2013 · 2013
Earlier work this paper cites.
Journalistic evidence: Cross-verification as a constituent of mediated knowledge
Yigal Godler and Zvi Reich. 2015 · 2015
Cited alongside, same era.
Code of principles
International Fact-Checking Network. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Do not trust the trolls: Predicting credibility in community question answering forums
Preslav Nakov, Tsvetomila Mihaylova, Lluís Màrquez, Yashkumar Shiroya, and Ivan Koychev. 2017 · 2017
Cited alongside, same era.
Predicting factuality of reporting and bias of news media sources
Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James Glass, and Preslav Nakov. 2018 · 2018
Cited alongside, same era.
Data statements for natural language processing: Toward mitigating system bias and enabling better science
To trust or to think: Cognitive forcing functions can reduce overreliance on ai in ai-assisted decision-making
Zana Buçinca, Maja Barbara Malaya, and Krzysztof Z. Gajos. 2021 · 2021
Later among the works it cites.
Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
Later among the works it cites.
Rethinking search: making domain experts out of dilettantes
Donald Metzler, Yi Tay, Dara Bahri, and Marc Najork. 2021 · 2021
Later among the works it cites.
Extending multi-document summarization evaluation to the interactive setting
Ori Shapira, Ramakanth Pasunuru, Hadar Ronen, Mohit Bansal, Yael Amsterdamer, and Ido Dagan. 2021 · 2021
Later among the works it cites.
CiteWorth: Cite-worthiness detection for improved scientific document understanding
Dustin Wright and Isabelle Augenstein. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Emily M. Bender and Batya Friedman. 2018 · 2018
Cited alongside, same era.
Algorithms of oppression
Safiya Umoja Noble. 2018 · 2018
Cited alongside, same era.
FEVER: a large-scale dataset for fact extraction and VERification
James Thorne, Andreas Vlachos, Christos Christodoulopoulos, and Arpit Mittal. 2018 · 2018
Cited alongside, same era.
Knowledge-context in search systems: Toward information-literate actions
Catherine L. Smith and Soo Young Rieh. 2019 · 2019
Cited alongside, same era.
Journalism’s epistemic crisis and its solution: Disinformation, datafication and source criticism
Steen Steensen. 2019 · 2019
Cited alongside, same era.
Tanbih: Get to know what you are reading
Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James Glass, and Preslav Nakov. 2019b · 2019
Cited alongside, same era.
We can detect your bias: Predicting the political ideology of news articles
Ramy Baly, Giovanni Da San Martino, James Glass, and Preslav Nakov. 2020a · 2020
Cited alongside, same era.
Zhijiang Guo, Michael Schlichtkrull, and Andreas Vlachos. 2022 · 2022
Later among the works it cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Later among the works it cites.
Situating search
Chirag Shah and Emily M. Bender. 2022 · 2022
Later among the works it cites.
Combating misinformation in the age of llms: Opportunities and challenges
Canyu Chen and Kai Shu. 2023 · 2023
Later among the works it cites.
FActScore: Fine-grained atomic evaluation of factual precision in long form text generation
Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Koh, Mohit Iyyer, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2023 · 2023
Later among the works it cites.
Credible without credit: Domain experts assess generative language models
Denis Peskoff and Brandon Stewart. 2023 · 2023
Later among the works it cites.
The intended uses of automated fact-checking artefacts: Why, how and who
Michael Schlichtkrull, Nedjma Ousidhoum, and Andreas Vlachos. 2023a · 2023
Later among the works it cites.
Standardize: Aligning language models with expert-defined standards for content generation
J. M. Imperial, G. Forey, and H. T. Madabushi. 2024 · 2024
Closest in time.
Comparing gpt-4 and open-source language models in misinformation mitigation
Tyler Vergho, Jean-Francois Godbout, Reihaneh Rabbany, and Kellin Pelrine. 2024 · 2024
Closest in time.
What evidence do language models find convincing?
Alexander Wan, Eric Wallace, and Dan Klein. 2024 · 2024
Closest in time.
Knowledge conflicts for llms: A survey
Rongwu Xu, Zehan Qi, Zhijiang Guo, Cunxiang Wang, Hongru Wang, Yue Zhang, and Wei Xu. 2024 · 2024
Closest in time.
Lmsys-chat-1m: A large-scale real-world llm conversation dataset
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Tianle Li, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zhuohan Li, Zi Lin, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, and Hao Zhang. 2024 · 2024
Closest in time.