Results 161 to 170 of about 14,353 (222)

AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu, Yijun Xiang, Xutao Feng, Mark Wilson   +3 more
wiley   +1 more source

Large language models reflect the ideology of their creators. [PDF]

NPJ Artif Intell
Buyl M, Rogiers A, Noels S, Bied G, Dominguez-Catena I, Heiter E, Johary I, Mara AC, Romero R, Lijffijt J, De Bie T.   +10 more
europepmc   +1 more source

Milgram's experiment in the knowledge space: individual navigation strategies. [PDF]

EPJ Data Sci
Zhu M, Kertész J.
europepmc   +1 more source

Research citations building trust in Wikipedia: Results from a survey of published authors. [PDF]

PLoS One
Areia C, Burton K, Taylor M, Watkinson C.   +3 more
europepmc   +1 more source

Reply to Yu et al.: Datasets, human judges, and future directions for evaluating AI-AI bias. [PDF]

Proc Natl Acad Sci U S A
Kulveit J, Laurito W, Gavenčiak T, Grietzer P, Davis B, Böhm A.   +5 more
europepmc   +1 more source

Age and gender distortion in online media and large language models. [PDF]

Nature
Guilbeault D, Delecourt S, Desikan BS.
europepmc   +1 more source

LegitPhish: A large-scale annotated dataset for URL-based phishing detection. [PDF]

Data Brief
Potpelwar RS, Kulkarni UV, Waghmare JM.
europepmc   +1 more source

Population interest in and adequacy of the information on the safety of antineoplastic agents in the Spanish edition of Wikipedia. [PDF]

PLoS One
Climent-Ballester S, García-Salom P, Sanz-Valero J.   +2 more
europepmc   +1 more source

The COVID-19 pandemic and the worldwide online interest in telepsychiatry: an infodemiological study from 2004 to 2022. [PDF]

Front Digit Health
Alibudbud R.
europepmc   +1 more source

Correction: AI-assisted literature exploration of innovative Chinese medicine formulas. [PDF]

Front Pharmacol
Chung MC, Su LJ, Chen CL, Wu LC.
europepmc   +1 more source