Bio

How can sustainable online relationships between different parties (e.g. organizations and consumers) be created and developed with social media like Facebook, Twitter, YouTube, Instagram and blogposts? To study my main interest, I take a corporate point of view and focus on message characteristics (language and content use) in online settings. On the one hand, I focus on aspects of monitoring and interpreting online word-of-mouth (WOM) messages. On the other hand I aim to gain more insight into effective (proactive) organizational strategies and language use to initiate online conversations and to distinguish effective (reactive) response strategies to WOM messages. Furthere, I explore the possibilities of automated (organizational) messages to WOM by means of chatbots / customer service agents.

 

Most recent research project: In de toon vallen. Hoe automatische analyse van online berichten helpt bij het menselijk communiceren in webcare, co-granted by NWO.

Expertise

- Language use in (professional) communication

- Content Marketing

- Webcare

- Chatbots / Conversational agents

Teaching

For the track Business Communication and Digital Media (BDM), I lecture about online business communication, with a strong focus on content and language characteristics in messages.

Courses

Collaboration

I collaborate intensely with scholars and practitioners in projects on webcare, chatbots/conversational interfaces, and content marketing. Please contact me if you are interested in collaboration on these topics.

Top publications

  1. Linguistic elements of conversational human voice in online brand com…

    Liebrecht, C., Tsaousi, C., & van Hooijdonk, C. (2021). Linguistic elements of conversational human voice in online brand communication: Manipulations and perceptions. Journal of Business Research, 132, 124-135.
  2. Sorry but no sorry - The use and effects of apologies in airline webc…

    van Hooijdonk, C., & Liebrecht, C. (2021). Sorry but no sorry: The use and effects of apologies in airline webcare responses to NeWOM messages of flight passengers. Discourse, Context & Media, 40, Article 100442.
  3. I Need a CAVAA - How Conversational Agent Voting Advice Applications …

    Kamoen, N., & Liebrecht, C. (2022). I Need a CAVAA: How Conversational Agent Voting Advice Applications (CAVAAs) Affect Users' Political Knowledge and Tool Experience. Frontiers in Artificial Intelligence, 5, Article 835505.
  4. Inclusive design of a sensitive virtual assistant to support people i…

    van Heijster, H., Liebrecht, C., Bol, N., van Calis, J., van der Cruijsen, A., Dijkgraaf, M., Feitz, W., Muller, M., Tromp, E., Bevelander, K., & Antheunis, M. (2022). Inclusive design of a sensitive virtual assistant to support people in vulnerable positions in their access to care. In CONVERSATIONS 2022 : the 6th International Workshop on Chatbot Research, Applicatinos and Design (pp. 1-6) https://conversations2022.files.wordpress.com/2022/11/conversations_2022_projectpresentation_7_heijster.pdf
  5. A Framework and Content analysis of Social Cues in the Introductions …

    van Hooijdonk, C., Martijn, G., & Liebrecht, C. (2022). A Framework and Content analysis of Social Cues in the Introductions of Customer Service Chatbots. Paper presented at Conversations, Amsterdam, Netherlands.

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