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Webcare knowledge clips + glossary most important concepts

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This document contains a summary of all knowledge clips uploaded in college year 2020/2021 for the course Webcare. In these clips the most important concepts and literature are discussed. The document ends with a list of concepts of all relevant concepts of the webcare course.

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WEBCARE KNOWLEDGE CLIPS
Week 1 – The why of webcare
1.1 Goals of webcare
 Customer care  solving customer problems
 Public relations  manage relationships
 Marketing  impact on brand evaluation

1.2 Proactive and reactive webcare
Proactive webcare = consumers post a message online but don’t request a response to it.
Reactive webcare = customers post a message online and explicitly ask the company to respond.
How do customers evaluate a brand when it uses proactive or reactive webcare?
The research also distinguished between two types of platforms:
 Brand-generated = platform initiated by the brand.
 Consumer-generated = platform initiated by consumers who post their evaluations on
different brands.
Results:
 There was a difference in receiving a webcare response or not.
o Responding to NeWOM by means of webcare increases brand evaluations.
 Proactive webcare caused more positive brand evaluations when used on a brand-
generated platform instead of a consumer-generated platform.
 A mediation effect of CHV was found
 Proactive webcare on brand-generated platforms engendered perceptions of CHV

1.3 From issue to crisis
This is about the PR function of webcare  damage control
Domino pizza crisis & AirAsia crisis
Framing theory = a single issue can be regarded from multiple angles (emotional or informal)
Results:
 AirAsia used an informational strategy
o They did everything in their power to protect their brand reputation.
 But does this frame align with the public?
 The public used both informative and emotional frames (more than informational)
o There is a mis-alignment between the company and public frames.

1.4 Situational Crisis Communication Theory (SCCT)
SCCT = what factors shape how stakeholders perceive a crisis?
It is about crisis responsibility system of assessment:
 Look at the general type of crisis your organization is encountering
o Victim – very little responsibility
o Accidental – minimal responsibility
o Preventable – the company could have prevented it

A base response across all types of crisis:
 Help people prevent further harm
 Help people cope psychologically with the crisis

1

, Week 2 – Chatbot technology
2.1 Turing test
Can computers talk like a human?  measuring artificial intelligence.
Turing test = a judge has computer mediated conversations with people and a computer. If the
computer cannot be distinguished from the humans it is considered intelligent.
Simulating a human conversation however is a lot harder than Turing initially thought.
2.2 Uncanny valley effect
Uncanny valley = the phenomenon when a computer-generated figure or humanoid robot looks
almost identical to a human being and this arouses a sense of unease in the person viewing it.
Week 3 – Elements of tone of voice
3.1 Creating human-like chatbots
According to the CASA-paradigm, computers are perceived as social actors, so we as humans
behave similar to computers as we do to other humans.
Which linguistic elements can you use in your communication?
 Personalization of the message
 Using informal language in your message
 Using invitational rhetoric (e.g. showing empathy, using humour, etc.)
Social presence is based on two different factors:
 The idea of synchroneity (immediacy) = there is a natural time between sending a
message and receiving an answer
 Intimacy = to what extent you have the feeling that you are communicating with another
person, based on the used cues.
If you are not familiar with a brand, it is less appropriate to use CHV, if you are familiar it is
appropriate to use CHV.
If the CASA-paradigm is true, the study would have found the same effects as other studies. They
partly did:
 Human-like chatbot created the effect of social presence and this positively effected
brand attitude.
 Human-like chatbots were perceived as warmer than machine-like chatbots.
 Using informal language had no effect on the appropriateness or inappropriateness.
 The CASA-paradigm, anthropomorphism and social presence are partly similar to the
webcare context, but also people behave differently in the chatbot context.
 The idea of role theory was not fully supported in this research.
3.2 Humanizing a response
There are two ways to humanize a response:
 Use visuals (avatar)
 Use linguistic elements (words)
o Personalization (e.g. usage of I, greeting with name, using personal information)
o Informal language (e.g. using shortenings, non-verbal cues, interjections)
o Invitational rhetoric (e.g. express apology, show empathy, say thank you, showing
dialogue, using humour)



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Uploaded on
November 9, 2020
Number of pages
11
Written in
2020/2021
Type
Class notes
Professor(s)
Christine liebrecht
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