Recent advances in AI, particularly generative large language models, enhance scientific research by improving efficiency and reducing costs. Key applications include AI-augmented annotations, AI-assisted programming, content-based file management, grammar correction, and brainstorming ideas. Tools like Label Studio, GitHub Copilot, Riffo, and BotAI are recommended for various tasks in the research pipeline.

We used GitHub private repositories for code backup, collaboration, and data synchronization. These repositories share all code crucial for replication within our teams. Moreover, Git enables us to trace previous changes. This incident underscores the importance of real-time synchronization and code backups.

Causal inference has long been a prevalent methodology in political science and economics, but its adoption within the field of communications has been slower, albeit increasing. This post aims to gather pioneering studies that utilize causal inference within the field of communications.

The agenda tonight is that we can start with a general discussion of modernity, then go to different “great thinkers”[BBC]. Then we will recognize the star of technical determinism, McLuhan. At last, we will return to the point that Mitchel and Hansen want to argue in their paper that changes of media are not “determining our situation” as what Kittler and McLuhan trying to preach [paper], instead, “media are our situation.”[paper]

JCMC called for papers and this is the answer. This is an introduction to a special issue of JCMC. More details, questions, and critics will be added as hyperlinks of each point after reading.

A good writing style can be challenging for non-native writers, but "Style: The Basics of Clarity and Grace" offers a solution. The book is a clear and concise guide to achieving clarity in writing, making it a must-read for foreign learners of the English language.

Analyzing an official, fully-scored example essay is beneficial when studying for the GRE. Inadequate examination on valuable but scarce information, however, may squander time and limited ETS resources; so, today, I would want to learn one argument essay from the OG in depth.

Linear algebra is also a system has input and output (function, transformation, operator). But it is amazing.

This study examines the use of “algorithms in everyday labor” to explore the labor conditions of three Chinese food delivery platforms: Baidu Deliveries, Eleme, and Meituan.

A web crawler for chinadrugtrials.org.cn, written in Python 3.6+.

This tool is used to enhance writing experience in Notion.

A network is a representation of connections among a set of nodes and edges.

The concept of social capital describes the benefits individuals derive from their social relationships and interactions: resources such as emotional support, exposure to diverse ideas, and access to non-redundant information. Social capital is embedded in the structure of social networks and the location of individuals within these structures (Burt, 2005). Because social network sites (SNSs) have the potential to reshape social networks and lower the costs of communicating with (and thus contributing to and extracting benefits from) this social network, SNS use may have social capital implications. This study is among the first to explore the relationship between social capital and specific communication practices on the most popular SNS among US undergraduates, Facebook.

We used logistic regression and random forest to predict user behaviors on a Chinese social network, Weibo.

In this project, I was trying to be a normal user in a headless browser, intended to get translated texts from DeepL’s models.

Create a Notion collection, synced with Zotero.

Process, LAVAAN, SEM, R, and Rstudio

Origin: Online/Digital Data + Computational Methods -> Computational Social Science -> Computational Communication ResearchDigital/Online Data

The rapid growth of Uber and analogous platform companies has led to considerable scholarly interest in the phenomenon of platform labor. Scholars have taken two main approaches to explaining outcomes for platform work—precarity, which focuses on employment classification and insecure labor, and technological control via algorithms. Both predict that workers will have relatively common experiences.

Three great materials I found on TDS(TowardDataScience.com) and the City of Statistics today.