Conversation Analysis of Overlapping Talk and Backchannel in Prince Harry and Meghan Markle Interview

Abstract

This thesis entitled OverlappingTalk and Backchannel in Prince Harry and Meghan Markle's Interview.The objectives of the study are to find out the types of overlapping talk and backchannel which occurred in the interview and how overlapping talk and backchannel were realized in Prince Harry and Meghan Markle’s interview.The research design of this study uses a qualitative method.The data are collected by utterances and gestures contained overlapping talk and backchannel in Prince Harry and Meghan Markle’s interview.The theories that are used in this study are a conversation analysis by Sidnell and Stivers (2013) and Pragmatics by Yule (1996).The result of this study is stated as follows. (1) The types of overlapping talk in the interview are Turn Terminal with 5 data, Turn Initial with 2 data, and Mid Turnwith 5 data.The types of backchannel in the interview are Vocal with 18 data and Non-Vocal 12.The Vocal “Yeah” with 4 data,the vocal “Hmm”with 9 data,and the vocal “Yes” with 5 data. The Non-Vocal Head Nod with 4 data,Smile with 5 dataand Laugh with 3 data. (2) The realization of Overlap is through three ways. The first is when the current speaker has not completed yet his talks but probably will finish his talks, the next speaker spontaneously took a turn. The second is when overlap occurs, one of the speakers stop talking and gave a turn to the next speaker. This is to minimize occur overlap and conversation will go well. And the last, the overlap occurs when the current speaker has completed his talks, the next speaker takes a turn because they alreadyknow what the current speaker is going to say. Mostly overlapping talk occurred in the interview cause to added the information from the speaker.While backchannel is realized by vocal such as “yeah, mmm, and yes” which has some functions such as agreement and to show that the listener pays attention to the speaker, “yes” means the listener agrees and listens to the speaker and non-vocal such as “smile” means the listeners respond when the speaker is talking,etc.

Skripsi ini berjudul Overlapping Talk and Backchannel in Prince Harry and Meghan Markle’s Interview.Tujuan dari penelitian ini adalah untuk menemukan tipe tumpang tindih dan respon balik yang terjadi dalam interview dan bagaimana tumpang tindih dan respon balik itu terjadi.Desain penelitian yang digunakan adalah metode kualitatif. Data penelitian dikumpulkan melalui ujaran dan gerakan-isyarat yang berisi tumpang tindih dan respon balik dalam wawancara dengan pangeran Harry dan Meghan Markle. Teori yang digunakan adalah analisis percakapan oleh Sidnell dan Stivers (2013) dan Pragmatik oleh Yule (1996).Hasil dari penelitian ini adalah sebagai berikut. (1) Tipe tumpang tindih didalam wawancara adalah Turn Terminal dengan 5 data, Turn Initial dengan 2 data, dan Mid Turn dengan 5 data. Tipe respon balik didalam wawancara adalah Vocal dengan 18 data dan Non-Vocal 12.Vocal “Yeah” dengan 4 data,vocal “Hmm” dengan 9 data, dan vocal “Yes” dengan 5 data.Non-Vocal Head Nod dengan 4 data, Smile dengan 5 data dan Laugh dengan 3 data. (2) Realisasi tumpang tindih melalui 3 hal.Pertama ,tumpang tindih terjadi ketika pembicara sebelumnya belum menyelesaikan pembicaraanya tapi kemungkinan akan selesai, pembicara selanjutkan dengan spontan mengambil giliran. Kedua, tumpang tindih terjadi, salah satu pembicara berhenti kemudian memberi giliran kepada pemibcara selanjutkan. Dan yang terakhir, pembicara selanjutnya mengambil giliran karena mereka sudah mengetahui apa yang disampaikan oleh pembicara sebelumnya.Kebanyakan tumpang tindih yang terjadi di wawancara disebabkan karena untuk menambah informasi yang disampaikan pembicara.Respon balik realisasikan dengan vokal “yeah,mmm,dan yes” mempunyai fungsi sebagai persetujuan dan menunjukkan bahwa pendengar sedang memperhatikan. “yes’ artinya pendengar setuju dan mendengarkan pembicara dan non-vocal seperti “smile” artinya pendengar merespon ketika pembicara sedang berbicara,dll.