SUBMISSION: 82

TITLE: Depicting U.S.-China Disputes on Tech Giants through Social Media: An Attempt of Computational Political Communication

SUBMISSION: 82

TITLE: Depicting U.S.-China Disputes on Tech Giants through Social Media: An Attempt of Computational Political Communication

AUTHORS: Yekai Xu, Mingqi Xie, Shiguang Ni and Yu Hu

SCORE: -3 (strong reject)

Strengths:

  1. The topic of the paper is interesting.

  2. The existing work is fully introduced.

  3. A new Twitter dataset is collected and analyzed.

Weaknesses:

  1. The analysis in the paper is insufficient. The authors only showed and briefly introduced the number of tweets and the word vectors. There should be deeper analysis and discussion.

  2. The data are not well preprocessed. For example, there are "Huawei", "@Huawei", "#Huawei", "#Huawei," (a comma at the end, it shows in the figure about Pakistan), "#Huawei." (a full stop at the end, it shows in the figure about U.K.) and "Huawei's" in Fig. 2. Punctuation should be removed before the calculation of word vectors.

  3. There are some problems with the analysis. It seems that the word vectors of the same word are different in Fig.2, such as the word "#5G". If the word vectors are generated separately for every country, the statement "for any given country, words from tweets related to different companies generally form only one cluster" has no value.

  4. The arrangement of the article is unreasonable. The first two sections (introduction and existing works) are too long and the next two sections (data collection, analysis, conlusions and discussions) are too short.

  5. The text in the figures is too small to read on the printed paper.