Title: HUMAN OR CHATBOT? Linguistic Differences in Real Conversations: Human to Human vs. Human t... more Title: HUMAN OR CHATBOT? Linguistic Differences in Real Conversations: Human to Human vs. Human to Chatbot Author: Eirini Silkej Supervisor: Gunnar Bergh Abstract: This study investigates how students communicate in writing when they know that their conversational partner is a human being in comparison to how they communicate when they know their partner is a chatbot. The participants are upper secondary students of English. The investigation took place in a school in Sweden where English is taught as a foreign language. The students wrote to their peers through Instant Messaging (IM) and to the chatbot ‘Mitsuku’ through the website of ‘pandorabots’. The conversations were compared, and their linguistic variables were distinguished according to the following dimensions: words per message and per conversation, messages per conversation, lexical diversity, frequency of profanity and use of abbreviations, acronyms and emoticons. During the last few years, both linguists and AI research...
Title: HUMAN OR CHATBOT? Linguistic Differences in Real Conversations: Human to Human vs. Human t... more Title: HUMAN OR CHATBOT? Linguistic Differences in Real Conversations: Human to Human vs. Human to Chatbot Author: Eirini Silkej Supervisor: Gunnar Bergh Abstract: This study investigates how students communicate in writing when they know that their conversational partner is a human being in comparison to how they communicate when they know their partner is a chatbot. The participants are upper secondary students of English. The investigation took place in a school in Sweden where English is taught as a foreign language. The students wrote to their peers through Instant Messaging (IM) and to the chatbot ‘Mitsuku’ through the website of ‘pandorabots’. The conversations were compared, and their linguistic variables were distinguished according to the following dimensions: words per message and per conversation, messages per conversation, lexical diversity, frequency of profanity and use of abbreviations, acronyms and emoticons. During the last few years, both linguists and AI research...
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