Παρακαλώ χρησιμοποιήστε αυτό το αναγνωριστικό για να παραπέμψετε ή να δημιουργήσετε σύνδεσμο προς αυτό το τεκμήριο:
https://hdl.handle.net/20.500.14279/23726
Πεδίο DC | Τιμή | Γλώσσα |
---|---|---|
dc.contributor.author | Papadamou, Kostantinos | - |
dc.contributor.author | Zannettou, Savvas | - |
dc.contributor.author | Blackburn, Jeremy | - |
dc.contributor.author | De Cristofaro, Emiliano | - |
dc.contributor.author | Stringhini, Gianluca | - |
dc.contributor.author | Sirivianos, Michael | - |
dc.date.accessioned | 2022-01-11T11:28:45Z | - |
dc.date.available | 2022-01-11T11:28:45Z | - |
dc.date.issued | 2022-07 | - |
dc.identifier.citation | 16th International AAAI Conference On Web And Social Media, 2022, 6-9 June, Atlanta, Georgia | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.14279/23726 | - |
dc.description | To appear at the 16th International Conference on Web and Social Media (ICWSM 2022). This project has received funding from the European Union’s Horizon 2020 Research and Innovation program under the CONCORDIA project (Grant Agreement No. 830927), and from the Innovation and Networks Executive Agency (INEA) under the CYberSafety II project (Grant Agreement No. 1614254). | en_US |
dc.description.abstract | The role played by YouTube's recommendation algorithm in unwittingly promoting misinformation and conspiracy theories is not entirely understood. Yet, this can have dire real-world consequences, especially when pseudoscientific content is promoted to users at critical times, such as the COVID-19 pandemic. In this paper, we set out to characterize and detect pseudoscientific misinformation on YouTube. We collect 6.6K videos related to COVID-19, the Flat Earth theory, as well as the anti-vaccination and anti-mask movements. Using crowdsourcing, we annotate them as pseudoscience, legitimate science, or irrelevant and train a deep learning classifier to detect pseudoscientific videos with an accuracy of 0.79. We quantify user exposure to this content on various parts of the platform and how this exposure changes based on the user's watch history. We find that YouTube suggests more pseudoscientific content regarding traditional pseudoscientific topics (e.g., flat earth, anti-vaccination) than for emerging ones (like COVID-19). At the same time, these recommendations are more common on the search results page than on a user's homepage or in the recommendation section when actively watching videos. Finally, we shed light on how a user's watch history substantially affects the type of recommended videos. | en_US |
dc.format | en_US | |
dc.language.iso | en | en_US |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | * |
dc.subject | YouTube | en_US |
dc.subject | YouTube Videos | en_US |
dc.subject | YouTube's Recommendation Algorithm | en_US |
dc.subject | Science | en_US |
dc.subject | Pseudoscience | en_US |
dc.subject | Pseudoscientific Misinformation | en_US |
dc.subject | Watch History | en_US |
dc.subject | COVID-19 | en_US |
dc.subject | Anti-vaccination | en_US |
dc.subject | Anti-mask | en_US |
dc.subject | Flat Earth | en_US |
dc.title | "It is just a flu": Assessing the Effect of Watch History on YouTube's Pseudoscientific Video Recommendations | en_US |
dc.type | Conference Papers | en_US |
dc.collaboration | Cyprus University of Technology | en_US |
dc.collaboration | University College London | en_US |
dc.collaboration | Max Planck Institute | en_US |
dc.collaboration | Binghamton University | en_US |
dc.collaboration | Boston University | en_US |
dc.subject.category | Computer and Information Sciences | en_US |
dc.journals | Open Access | en_US |
dc.country | Cyprus | en_US |
dc.country | United Kingdom | en_US |
dc.subject.field | Engineering and Technology | en_US |
dc.publication | Peer Reviewed | en_US |
dc.relation.conference | International AAAI Conference on Web and Social Media | en_US |
dc.identifier.url | http://arxiv.org/abs/2010.11638v5 | - |
cut.common.academicyear | 2021-2022 | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
item.grantfulltext | open | - |
item.openairecristype | http://purl.org/coar/resource_type/c_c94f | - |
item.cerifentitytype | Publications | - |
item.openairetype | conferenceObject | - |
crisitem.author.dept | Department of Electrical Engineering, Computer Engineering and Informatics | - |
crisitem.author.faculty | Faculty of Engineering and Technology | - |
crisitem.author.orcid | 0000-0002-6500-581X | - |
crisitem.author.parentorg | Faculty of Engineering and Technology | - |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
Αρχεία σε αυτό το τεκμήριο:
Αρχείο | Περιγραφή | Μέγεθος | Μορφότυπος | |
---|---|---|---|---|
just a flu.pdf | 5.69 MB | Adobe PDF | Δείτε/ Ανοίξτε |
CORE Recommender
Page view(s) 50
370
Last Week
0
0
Last month
30
30
checked on 14 Μαρ 2025
Download(s) 50
196
checked on 14 Μαρ 2025
Google ScholarTM
Check
Αυτό το τεκμήριο προστατεύεται από άδεια Άδεια Creative Commons