University Of Oulu: Research Institution — Prolific Citations Library

Browse 4 peer-reviewed papers from University Of Oulu spanning Human-Computer Interaction (HCI), Social Media Credibility (2022–2025). Research powered by Prolific's high-quality participant data.

This page lists 4 peer-reviewed papers from researchers at University Of Oulu in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (4 of 4)

Assessing credibility factors of short-form social media posts: A crowdsourced online experiment

Authors: J Li, M Kuutila, E Huusko, N Kariyakarawana

Year: 2025

Published in: Proceedings of the 15th ..., 2023 - dl.acm.org

Institution: University of Oulu

Research Area: Social Media Credibility, Crowdsourcing, Human-Computer Interaction (HCI)

Discipline: Human-Computer Interaction (HCI)

Credibility of short-form health-related social media posts is influenced by factors such as author profession and post engagement metrics, with experts being encouraged to actively participate in information correction online.

Methods: Crowdsourced online credibility assessment using health-themed social media posts with varied content features deployed across three platforms; quantitative and qualitative data collection.

Key Findings: Credibility factors like author profession, engagement metrics (likes/shares), and personal strategies influencing perceived trustworthiness of social media posts.

DOI: 10.1145/3605390.3605406

Citations: 11
Credtwi: Investigating Social Media Credibility with a Browser Plugin

Authors: J Li, E Huusko, NN Ahooie, M Kuutila

Year: 2025

Published in: ... Journal of Human ..., 2025 - Taylor & Francis

Institution: University of Oulu

Research Area: Social Media Credibility, Human-Computer Interaction (HCI) in Social Media, Crowdsourcing Research

Discipline: Human-Computer Interaction (HCI)

Credtwi, a browser plugin for assessing tweet credibility, revealed that perceived Twitter credibility declines with use and author verification status heavily influences perceived credibility.

Methods: A browser plugin was used for crowdsourced credibility assessment through participant questionnaires during a week-long field study.

Key Findings: Perceptions of online tweet credibility, factors affecting tweet credibility (e.g., verification status, bio), variations in credibility assessments across genders.

DOI: https://doi.org/10.1080/10447318.2025.2480885

Citations: 2

Sample Size: 150
It is an online platform and not the real world, I don't care much: Investigating Twitter Profile Credibility With an Online Machine Learning-Based Tool

Authors: J Li, V Paananen, SA Suryanarayana

Year: 2023

Published in: Proceedings of the ..., 2023 - dl.acm.org

Institution: University of Oulu, University of Helsinki

Research Area: Twitter Credibility, Machine Learning Tools, Online Behavior, Human-Computer Interaction (HCI)

Discipline: Computational Social Science

DOI: https://doi.org/10.1145/3576840.3578308

Citations: 8
The state of pilot study reporting in crowdsourcing: A reflection on best practices and guidelines

Authors: J Oppenlaender, T Abbas, U Gadiraju

Year: 2022

Published in: ... of the ACM on Human-Computer ..., 2024 - dl.acm.org

Institution: University of Oulu, University of Tübingen, Aston University, Delft University of Technology

Research Area: Crowdsourcing, Research Best Practices, Human-Computer Interaction (HCI)

Discipline: Human-Computer Interaction (HCI)

The paper shows that pilot studies are widely used but poorly reported in crowdsourcing and HCI research, making studies harder to interpret, replicate, and trust. It proposes clear reporting guidelines to improve transparency, rigor, and data quality in human-subject experiments.

Citations: 6