Social data: Biases, methodological pitfalls, and ethical boundaries
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 …
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 …
and deviations from rational decision making. Over the past decade, an increasing amount …
Microsoft academic graph: When experts are not enough
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 …
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 …
6 contributed articles IMA GE B Y SVIA TL ANA SHEINA OUR INHERENT HUMAN …
Measuring personalization of web search
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 …
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
Traditionally, machine learning algorithms relied on reliable labels from experts to build
predictions. More recently however, algorithms have been receiving data from the general …
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 …
for many artificial intelligence and information retrieval applications. Considerable efforts …
Exploiting food choice biases for healthier recipe recommendation
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 …
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
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 …
users consume and process information. Recent research has shown that this can lead to a …
Viewpoint diversity in search results
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 …
search users change their attitude on a topic following whatever most highly-ranked search …