M. Walther MSc (Michelle)

Guest PhD Candidate

About Me

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.


Other Contributions

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 Journal15(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)

Affiliated Study Programmes



Contact Details

Visiting Address

University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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Mailing Address

University of Twente
P.O. Box 217
7500 AE Enschede
The Netherlands