11:00 - 12:30
Parallel sessions 5
11:00 - 12:30
Room: HSZ - N5
Chair/s:
Désirée Schönung, Nikoletta Symeonidou
Source memory research aims at understanding how people remember the origin of information (e.g., Where did I read the latest news?). This double symposium brings together findings of both basic (Part 1) and more applied (Part 2) source memory research. Building on the theoretical and methodological framework introduced in Part I, this second part elucidates the important role of source memory in more applied contexts.
Luise Metzger opens the session with the project “Source Memory for AI- vs. Human-Generated Online Content”, which aims to investigate whether people spontaneously categorize and recall web content as human- or AI-generated. The project further explores whether people who are less trusting toward AI show better source discrimination.
Oktay Ülker continues with “The Source of My Source: Effects of Learning Partner Expertise on Source Memory in Collaborative Learning”. This research examines how well individuals remember which source (trustworthy, untrustworthy, no source) their study partner cited in the collaboration phase.  By additionally varying the expertise (high vs. low) of the learning partner, the study also tests schema-incongruency effects in source memory.
Relatedly, in “Advice Taking on Social Media: The Influence of Source Memory for Advisor Trustworthiness on Advice Weighting” Johanna Höhs focuses on how well people remember the trustworthiness of advisors encountered on social media. The study also addresses whether enhanced source memory supports adaptive advice taking – favoring trustworthy over untrustworthy advisors.
Nikoletta Symeonidou then bridges to source-memory research in specific populations. Focusing on older adults in her talk “Effects of Negative Age Stereotypes on Source Memory”, she presents findings showing that activating negative age stereotypes can impair source memory in older adults. These results highlight the importance of creating age-fair testing.
Extending the discussion to (sub)clinical populations, Isabel Porstein concludes the session with “Source Monitoring Along the Continuum of Psychosis: Insights from Schizotypy.” Her research explores how subclinical schizotypy dimensions relate to source memory and source guessing biases, particularly regarding reality-monitoring impairments, which are often discussed as mechanism underlying hallucinations.
The second session concludes with a general discussion, highlighting the main findings and potential implications of all contributions from a basic and applied perspective.
Submission 115
Source Memory for AI- vs. Human-Generated Online Content
SymposiumTalk-01
Presented by: Luise Metzger
Luise MetzgerEdgar Erdfelder
University of Mannheim, Germany
The increased capabilities and availability of large language models have changed the online information landscape: Apart from traditional, human-curated sources—such as forums, news websites, or encyclopedias—, AI-generated information—such as chatbot responses or automated search summaries—is now also readily available. This research project examines whether people spontaneously categorize and recall web content as human- vs. AI-generated.

In two online studies, we adapted the “Who said what?” paradigm: Participants were shown trivia statements randomly allocated to informational websites, half of which were human- and half AI-generated. After a filler task, they then completed a source monitoring test where they were presented with both the original statements along with new distractor statements and were asked for each if it was new, or, if they assumed they had seen it previously, which website it had appeared on. We further assessed individual attitude measures and expected negative attitudes towards AI to enhance participants’ monitoring of AI-generated sources.

We analyzed the data using hierarchical multinomial processing trees with hierarchical ML estimation (Nestler & Erdfelder, 2023) based on Klauer and Wegener’s (1998) two-high-threshold model of social categorization. Initial results indicate that categorization occurs only partially.