Users Perceptions about Teleconferencing Applications Collected through Twitter
Abraham Woubie, Pablo P\'erez Zarazaga, Tom B\"ackstr\"om

TL;DR
This study analyzes Twitter user opinions on teleconferencing apps during COVID-19, highlighting strengths, drawbacks, and user sentiment to inform future improvements.
Contribution
It introduces a method to extract and analyze Twitter opinions on teleconferencing apps, focusing on sentiment and key features during the pandemic.
Findings
Users expressed both positive and negative sentiments about teleconferencing apps.
Security, privacy, and media quality are major concerns among users.
The analysis identifies key strengths and challenges of different teleconference applications.
Abstract
The COVID-19 outbreak disrupted different organizations, employees and students, who turned to teleconference applications to collaborate and socialize even during the quarantine. Thus, the demand of teleconferencing applications surged with mobile application downloads reaching the highest number ever seen. However, some of the teleconference applications recently suffered from several issues such as security, privacy, media quality, reliability, capacity and technical difficulties. Thus, in this work, we explore the opinions of different users towards different teleconference applications. Firstly, posts on Twitter, known as tweets, about remote working and different teleconference applications are extracted using different keywords. Then, the extracted tweets are passed to sentiment classifier to classify the tweets into positive and negative. Afterwards, the most important features…
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Taxonomy
TopicsSentiment Analysis and Opinion Mining · Complex Network Analysis Techniques · Spam and Phishing Detection
