TY - GEN
T1 - Verba Volant, Scripta Volant
T2 - 31st ACM Web Conference, WWW 2022
AU - Guo, Xingzhi
AU - Kondracki, Brian
AU - Nikiforakis, Nick
AU - Skiena, Steven
N1 - Publisher Copyright: © 2022 ACM.
PY - 2022/4/25
Y1 - 2022/4/25
N2 - Digital media (including websites and online social networks) facilitate the broadcasting of news via flexible and personalized channels. Unlike conventional newspapers which become "read-only"upon publication, online news sources are free to arbitrarily modify news headlines after their initial release. The motivation, frequency, and effect of post-publication headline changes are largely unknown, with no offline equivalent from where researchers can draw parallels. In this paper, we collect and analyze over 41K pairs of altered news headlines by tracking ~411K articles from major US news agencies over a six month period (March to September 2021), identifying that 7.5% articles have at least one post-publication headline edit with a wide range of types, from minor updates, to complete rewrites. We characterize the frequency with which headlines are modified and whether certain outlets are more likely to be engaging in post-publication headline changes than others. We discover that 49.7% of changes go beyond minor spelling or grammar corrections, with 23.13% of those resulting in drastically disparate information conveyed to readers. Finally, to better understand the interaction between post-publication headline edits and social media, we conduct a temporal analysis of news popularity on Twitter. We find that an effective headline post-publication edit should occur within the first ten hours after the initial release to ensure that the previous, potentially misleading, information does not fully propagate over the social network.
AB - Digital media (including websites and online social networks) facilitate the broadcasting of news via flexible and personalized channels. Unlike conventional newspapers which become "read-only"upon publication, online news sources are free to arbitrarily modify news headlines after their initial release. The motivation, frequency, and effect of post-publication headline changes are largely unknown, with no offline equivalent from where researchers can draw parallels. In this paper, we collect and analyze over 41K pairs of altered news headlines by tracking ~411K articles from major US news agencies over a six month period (March to September 2021), identifying that 7.5% articles have at least one post-publication headline edit with a wide range of types, from minor updates, to complete rewrites. We characterize the frequency with which headlines are modified and whether certain outlets are more likely to be engaging in post-publication headline changes than others. We discover that 49.7% of changes go beyond minor spelling or grammar corrections, with 23.13% of those resulting in drastically disparate information conveyed to readers. Finally, to better understand the interaction between post-publication headline edits and social media, we conduct a temporal analysis of news popularity on Twitter. We find that an effective headline post-publication edit should occur within the first ten hours after the initial release to ensure that the previous, potentially misleading, information does not fully propagate over the social network.
KW - Information Integrity
KW - Information Propagation over Social Network
KW - News Title Modification Taxonomy
UR - https://www.scopus.com/pages/publications/85129792682
U2 - 10.1145/3485447.3512219
DO - 10.1145/3485447.3512219
M3 - Conference contribution
T3 - WWW 2022 - Proceedings of the ACM Web Conference 2022
SP - 588
EP - 598
BT - WWW 2022 - Proceedings of the ACM Web Conference 2022
PB - Association for Computing Machinery, Inc
Y2 - 25 April 2022 through 29 April 2022
ER -