Artificial Intelligence

And the final speaker in this IAMCR 2024 session is Chen-ling Hung, whose focus is on Chinese disinformation attacks on Taiwan during the presidential election on 13 January 2024. Given its exposed position at the frontier between democracy and autocracy, Taiwan is most targetted by foreign disinformation attacks, yet remains a democratic country with the highest level of press freedom in Asia; there is considerable social awareness of disinformation challenges.

This study examined the means and themes of Chinese disinformation attacks on Taiwan, and the responses to this from Taiwanese society. It centrally builds on the concept of democratic resilience …

The third presenter in this IAMCR 2024 session is Joanne Kuai, whose interest is in LLM-powered chat bots and search engines. There is a considerable shift now underway in search: instead of presenting a list of search results, search engines are gradually moving towards the presentation of a summary of the search topic, with references attached. This is true for Google’s Gemini, Microsoft Copilot, and Baidu search, and especially important as more than half the world’s population participates in elections in 2024.

This project focussed on results from Microsoft Copilot on the Taiwanese presidential election earlier in 2024. In particular …

The third speaker in this IAMCR 2024 session is Zaneera Malik, whose focus is on the use of social media as a strategic political communication tool in the fragile democracy of Pakistan. The focus here is especially on the PTI party, led by former cricket star Imran Khan, which lost the February 2024 election.

PTI won the 2018 elections and Khan became Prime Minister, but he lost office in 2022, and has been mired in political and legal controversy every since. Worse yet, PTI lost its election symbol, the cricket bat: because of limited literacy rates in Pakistan, each party …

The next session at IAMCR 2024 starts with Svetlana Bodrunova, who introduces a methodological focus in the study of topic evolution in user talk on social media platforms. Key to this is the use of artificial intelligence tools.

Deliberative public communication research tends to remain strongly influenced by Habermasian normativity, but this is not necessarily very productive. It ignores the right of participants not to be deliberative, and therefore fails to fully understand the phenomenon of dissonant public spheres, or the cumulative nature of public discussion. We need to better understand how opinions accumulate online.

Big data approaches are central …

The next speaker in this IAMCR 2024 session is Nicole Stewart, whose interest is in the impact of generative AI on the propaganda of tomorrow. How might we democratise AI, and what does it mean for political systems?

In particular, what about AI systems that have been trained to appear human, and perhaps even to mimic real, historical humans: there is a long history of the preservation of real people’s traces, and these are increasingly also available in digital form; such traces can be used to train generative AI to produce content which resembles the traces of real persons.

Indeed …

The next speaker at the P³: Power, Propaganda, Polarisation ICA 2024 postconference is Heesoo Jang, whose interest is in the potential biases in Large Language Models. In the United States, a majority of Republican nominees for office in the last mid-term elections denied or questioned the 2020 presidential election results, and in Brazil similar election denialist groups have emerged. This is worsened by political attacks on press freedoms in these and other countries; globally, the challenges to democracies by the rise of far-right authoritarianism are growing. But most existing theories and concepts still focus on ‘stable’ democracies, wherever we might …

And the final speaker in this session at the ICA 2024 conference is the wonderful T.J. Thomson, who has explored the use of AI in newsrooms for the past few years in a number of contexts. His present study interviewed journalists at major news outlets in five European countries and Australia, to explore the use of generative visual AI in news production as well as the policies and principles surrounding it.

Key challenges that the (predominantly visually focussed) journalists identified here included the use of AI-generated images to mislead and deceive audiences (for instance in the current war in Gaza) …

The next speaker in this ICA 2024 conference session is Yanning Chen, whose interest is in how journalists’ perceptions of AI affect their adoption of such tools. This draws on a survey of some 455 Chinese journalists, which sought to identify the utility value that these journalists perceived for AI tools, as well as their personal preferences related to the utilisation of these tools.

This is also a matter of social projection, where people make judgments about the views about others who are similar to them; Chinese journalists, like journalists elsewhere, form a professional group cohort that is relatively homogenous …

The next speaker in this ICA 2024 conference session is Victoria Ertelthalner-Nikolaev; she notes that AI remains seen in a number of different ways by journalists, and attracts both positive and negative perceptions: it is seen as a valuable new tool, but also as something that could replace some journalistic jobs, and might affect the quality of journalistic converage. This is also affected by broader perceptions of AI in society, of course.

The present study examined these attitudes amongst journalists, to evaluate their sociology-technical imaginaries for these new technologies. Such imaginaries are often dichotomous, and the choice between positive and …

The next presenter in this ICA 2024 conference session is Brian So, whose interest is in how Bloomberg is using automated reporting to cover the financial results of Hong Kong-listed companies. Automated reporting has long been seen as supporting especially sports, financial, and weather reporting, since reporting there tends to follow very formalised patterns.

Financial news is numbers-intensive, requires utmost accuracy, and highly repetitive, with earnings reports and regular updates put out by companies. News organisations tend to claim that their use of automated tools is not meant to replace journalists altogether, but to expand the scope of formalised coverage …