Social data: Biases, methodological pitfalls, and ethical boundaries

A Olteanu, C Castillo, F Diaz, E Kıcıman - Frontiers in big data, 2019 - frontiersin.org
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …

Cognitive biases in search: a review and reflection of cognitive biases in Information Retrieval

L Azzopardi - Proceedings of the 2021 conference on human …, 2021 - dl.acm.org
People are susceptible to an array of cognitive biases, which can result in systematic errors
and deviations from rational decision making. Over the past decade, an increasing amount …

Microsoft academic graph: When experts are not enough

K Wang, Z Shen, C Huang, CH Wu, Y Dong… - Quantitative Science …, 2020 - direct.mit.edu
An ongoing project explores the extent to which artificial intelligence (AI), specifically in the
areas of natural language processing and semantic reasoning, can be exploited to facilitate …

Bias on the web

R Baeza-Yates - Communications of the ACM, 2018 - dl.acm.org
Bias on the web Page 1 54 COMMUNICATIONS OF THE ACM | JUNE 2018 | VOL. 61 | NO.
6 contributed articles IMA GE B Y SVIA TL ANA SHEINA OUR INHERENT HUMAN …

Measuring personalization of web search

A Hannak, P Sapiezynski, A Molavi Kakhki… - Proceedings of the …, 2013 - dl.acm.org
Web search is an integral part of our daily lives. Recently, there has been a trend of
personalization in Web search, where different users receive different results for the same …

Evolution and impact of bias in human and machine learning algorithm interaction

W Sun, O Nasraoui, P Shafto - Plos one, 2020 - journals.plos.org
Traditionally, machine learning algorithms relied on reliable labels from experts to build
predictions. More recently however, algorithms have been receiving data from the general …

Cognitive biases in crowdsourcing

C Eickhoff - Proceedings of the eleventh ACM international …, 2018 - dl.acm.org
Crowdsourcing has become a popular paradigm in data curation, annotation and evaluation
for many artificial intelligence and information retrieval applications. Considerable efforts …

Exploiting food choice biases for healthier recipe recommendation

D Elsweiler, C Trattner, M Harvey - … of the 40th international acm sigir …, 2017 - dl.acm.org
By incorporating healthiness into the food recommendation/ranking process we have the
potential to improve the eating habits of a growing number of people who use the Internet as …

This is not what we ordered: Exploring why biased search result rankings affect user attitudes on debated topics

T Draws, N Tintarev, U Gadiraju, A Bozzon… - Proceedings of the 44th …, 2021 - dl.acm.org
In web search on debated topics, algorithmic and cognitive biases strongly influence how
users consume and process information. Recent research has shown that this can lead to a …

Viewpoint diversity in search results

T Draws, N Roy, O Inel, A Rieger, R Hada… - … on Information Retrieval, 2023 - Springer
Adverse phenomena such as the search engine manipulation effect (SEME), where web
search users change their attitude on a topic following whatever most highly-ranked search …