M. Walther MSc (Michelle)

As an external PhD candidate I focus on the question how consumers identify the veracity of online consumer reviews on platforms like amazon and bol.com.
Simultanously, I work as a research associate at the University of Applied Sciences Bonn-Rhein-Sieg in Germany where I conduct research on the topic of fake review detection, social engineering and phishing. Additionally, I supervise students during their theses and as a teaching assisstant support my professors in supervising student groups.

Faculty of Behavioural, Management and Social Sciences (BMS), Psychology of Conflict, Risk and Safety (PCRS)

Walther, M., Jakobi, T., Watson, S. J., & Stevens, G. (2023). A systematic literature review about the consumers’ side of fake review detection–Which cues do consumers use to determine the veracity of online user reviews?. Computers in Human Behavior Reports, 100278.

Walther, M., Petrov, P., Smith, R., Young, D., de Vries, P. W., & Stel, M. (2022). Emojis in Deceptive Online Communication: The Frequency and Type of Emoji in Deceptive and NonDeceptive Online Messages. The Open Psychology Journal, 15(1).

Stevens, G., Boden, A., Alizadeh, F., Jakobi, T., Walther, M., & Krüger, J. (2022) Wie gehen Verbraucher*innen mit Onlinebetrug um? – Eine Literaturübersicht. In T.-G. Rüdiger & P. S. Bayerl (Eds.), Handbuch Cyberkriminologie—Band 2: Cybervictimologie. Springer.

Spithoven, R., Van Houten & Walther, M. (2020). Cyberweerbaarheid. Resultaten van studentonderzoek naar het vergroten van de weerbaarheid van diverse doelgroepen tegen verschillende vormen van cybercriminaliteit. Deventer: Saxion, Lectoraat Maatschappelijke Veiligheid (Onderzoeksrapport)