Chinese Social Media and Big Data: Big Data, Big Brother, Big Profit?

Jiang, Min; Fu, King‐Wa

doi:10.1002/poi3.187

Cited by 69 publications

(57 citation statements)

References 35 publications

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“…Notable is Alibaba's success and its significant investments in developing AI (Lucas, 2017). Also, China's controversial social credit system is partly AI-powered (Jiang & Fu, 2018;Matsakis, 2019).…”

Section: Descriptive Analysesmentioning

confidence: 99%

Artificial Intelligence in the Dutch Press: An Analysis of Topics and Trends

Vergeer

2020

Communication Studies

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The present study focuses on newspaper articles published in all newspapers in the Netherlands from 2000 up to 2018 on how they report on artificial intelligence. The study showed how reporting changes over time and how different types of newspapers report differently about various topics in the field of artificial intelligence. The findings show that newspapers increasingly report about AI from 2014 onward. Newspapers do so on a wide range of topics related to AI. Several types of newspapers showed distinct coverage of many artificial intelligence-related topics. Although robots and their football capabilities appear to be ever-present in newspapers, recent articles about tech giants and fake news are more prominent in newspapers. One of the most notable findings was that religious newspapers published less about AI topics, even though some topics on artificial intelligence have religious connotations (cf. singularity, consciousness). Sentiments about AI in newspaper articles remained balanced between positive and negative sentiments over the years.Artificial intelligence (AI) has been a promise to society for a long time. Turing (1950) is the first to mention intelligence in a computing machine, which became known later as AI. The technological advance of AI has been slow but steady. It encountered beautiful summers when the sky was the limit: quick progress in algorithms in times with unlimited funding. However, it was also met by severe winters when the development ground to a halt for extended periods, and funding was cut back (Crevier, 1993). Since the early 2010s, AI has seen a strong revival, due to new perspectives, particularly the use of neural networks algorithms for deep learning, particularly Hidden Markov Models, combined with the availability of Big Data to train these algorithms. At the same time, trained AI models are accessible for software developers, using Application Programming Interfaces (APIs), as provided by companies such as Google, Amazon, and Microsoft. In the late 2010 s, many people use AI in consumer products, knowingly or unknowingly. Devices such as iPhones, Android phones, Google Home, Amazon's Alexa, computer games, chatbots on websites that often have AI-driven apps. So, does this mean AI is an accepted technology? To make that decision, people can rely on direct experiences by using the technology first-hand, using these applications. Mostly, these applications are for fun and play and have become quite popular. People can also use external information sources to learn what lies ahead in the near and distant future.

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Section: Descriptive Analysesmentioning

confidence: 99%

Artificial Intelligence in the Dutch Press: An Analysis of Topics and Trends

Vergeer

2020

Communication Studies

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“…Specifically, owing to tightened control over online information (Creemers, 2017), the number of posts that are critical of the government on Weibo may have decreased since 2014 when the data used in this study were collected. As Jiang and Fu (2018) noted, Weibo's public power has been severely curtailed through government crackdowns, which has changed its utilization from a public forum to a highly commercialized apolitical space. Therefore, caution should be used in generalizing the findings of this study to the current situation.…”

Section: Discussionmentioning

confidence: 99%

Nationalism and political system justification in China: differential effects of traditional and new media

Wang

Kobayashi

2020

Chinese Journal of Communication

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Drawing on system justification theory, this study examines the influence of political information obtained in different types of media on popular support for the Chinese political system through the mediation of nationalism. The analyses of the survey data demonstrated that obtaining political information from state-controlled media increased support for the political system through nationalist propaganda. The use of social media to obtain political information demonstrated contrasting effects. The exposure to political information through Weibo was negatively associated with political system support because of its negative effect on nationalism, whereas the use of WeChat to obtain political information had a positive effect on nationalism, thus increasing support for the political system.

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“…First, regarding social capital, our analysis concentrated primarily on how big data helps build social capital and facilitates environmental governance. However, the authors recognize that social capital also has negative connotations [122]. The development of big data-based green social capital faces the risk of environmental injustice stemming from urban-rural inequality.…”

Section: Discussionmentioning

confidence: 99%