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Artificial Intelligence

Snurb — Friday 21 June 2024 14:01

Starting the Conversation about Generative AI in Journalistic Processes

Journalism | Industrial Journalism | Artificial Intelligence | ICA 2024 |

The post-lunch session at the ICA 2024 conference that I’m attending has been organised by the Global Journalism Innovation Lab (GJIL) project, and focusses on AI-generated content in the news. Elizabeth Dubois starts us off by defining generative AI as a type of artificial intelligence system which is capable of generating text, images, and other media in response to prompts. Such generative AI models learn the patterns and structure of their input training data, and then generate new data that have similar characteristics.

Michelle Bartleman now takes over by presenting an updated systematic literature review of journalism scholarship on automated …

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Snurb — Wednesday 1 May 2024 21:45

AI as Research Assistant: Upscaling Content Analysis to Identify Patterns of Polarisation in the News (ZeMKI 2024)

Politics | Polarisation | Journalism | Industrial Journalism | Artificial Intelligence | Social Media | Social Media Network Mapping | Dynamics of Partisanship and Polarisation in Online Public Debate (ARC Laureate Fellowship) |

ZeMKI ComAI Lectures

AI as Research Assistant: Upscaling Content Analysis to Identify Patterns of Polarisation in the News

Axel Bruns

  • 30 Apr. 2024 – Invited presentation in the ZeMKI ComAI Lectures series, Bremen

Recorded Talk

Presentation Slides

AI as Research Assistant: Upscaling Content Analysis to Identify Patterns of Polarisation in the News from Axel Bruns

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Snurb — Friday 26 April 2024 19:45

Conceptualising Digital Intermediaries on Digital Platforms

Produsers and Produsage | Gatewatching and Citizen Journalism | Journalism | Industrial Journalism | Internet Technologies | Artificial Intelligence | Social Media | FGZ RISC 2024 |

The final panel at this excellent Indicators of Social Cohesion symposium in Hamburg starts with the excellent Jakob Ohme, whose focus is on digital intermediaries in knowledge processes on digital platforms. Such platforms lead to context collapse, a levelling of epistemically hierarchies, and a disintegration of formerly fixed sequences in the knowledge process; through this, for instance, journalism has lost its gatekeeping function and information monopoly, actors have switched roles in the information process, and the amount of unverified information that is circulating has increased substantially.

Public communication flows online are now a dynamic network, which is difficult to model …

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Snurb — Friday 26 April 2024 18:48

From an Isolation to a Conflict Paradigm for Understanding Polarisation in Social Media Spaces

Politics | Polarisation | 'Big Data' | Artificial Intelligence | Social Media | Social Media Network Mapping | FGZ RISC 2024 |

Day two at the Indicators of Social Cohesion symposium begins with the great Petter Törnberg, who begins with a brief review of the changing understanding of the public sphere. With the arrival of the Web and (later) social media, there was early optimism about a new democratic renaissance – an opportunity for more inclusive and diverse public debate after the mass mediatisation of public debate through commercial print and broadcast media.

This was true to some degree, and social media did become a discursive engine of our political public sphere – yet the discourse there wasn’t particularly cross-cutting or inclusive …

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Snurb — Friday 26 April 2024 00:07

Silicon Sampling: Using LLMs to Simulate Social Media Conversations

Artificial Intelligence | Social Media | FGZ RISC 2024 |

The next speaker at the Indicators of Social Cohesion symposium is Ethan Busby, zooming in from Utah. His focus is especially on the use of Large Language Models in research, and current research focusses especially on the analysis of conversations in social media spaces, and the potential for automated tools to interact with such conversations.

Large Language Models have the potential to scale up such research and interventions, both in real-world and in simulated contexts. He introduces the concept of ‘silicon sampling’, which asks AI systems to assume a particular political persona in order to then simulate engagement in or …

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Snurb — Friday 23 February 2024 19:56

Reviewing the Performance of Automated Incivility Classifiers

Politics | Polarisation | 'Big Data' | Artificial Intelligence | Social Media | I-POLHYS 2024 |

The next speaker in this I-POLHYS 2024 session is Patrícia Rossini, who is also focussing on incivility. She begins by noting that this is a feature, and not a bug, of social media, and that conventional empirical research into incivility on social media tends to examine blatant forms (name-calling, profanity) rather than implementing more sophisticated perspectives.

Off-the-shelf solutions for such research like the Google Perspective API also tend to implement these fairly generic ideas, and often produce a merely binary score that shows whether incivility is or is not present. Such tools are often trained for industry rather than scholarly …

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Snurb — Thursday 22 February 2024 22:06

Using Artificial Intelligence to Enhance News Polarisation Analysis

Politics | Elections | Polarisation | Journalism | Industrial Journalism | Artificial Intelligence | Social Media | Facebook | I-POLHYS 2024 |

The final speaker in this excellent opening session at I-POLHYS 2024 is the equally excellent Fabio Giglietto from the Vera.AI project, whose focus is on media political partisanship and polarisation in Italy. Especially noteworthy here is also that his project explores the use of Large Language Models (LLMs) in news and social media research – a new approach that also needs a great deal of new validation approaches.

The project focusses on the 2022 Italian election, starting with 100,000 posts from 224 Italian news media Facebook pages. These were sampled down to some 12,600 posts on political topics from 12 …

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Snurb — Thursday 23 November 2023 09:06

Thinking through the Visualisation of Power in the Twentyfirst Century

Politics | Government | 'Big Data' | Artificial Intelligence | ANZCA 2023 |

The next session at ANZCA 2023 is on journalism and war, and starts with Nicolette Barsdorf-Liebchen, whose interest is in how to visualise twentyfirst-century state and corporate power. Neglected from a visual perspective is that which is not seen – the invisible systems, structures, and processes of corporate-military power, and the indirect, systemic, or socially abstract invisible warfare in which we are immersed daily, and ineluctably participate on various levels.

Today, this happens at the nexus of global corporatisation, digital information and communication technologies, and modern, AI-driven warfare, and is aided by the global digitisation, corporatisation, datafication, and financialisation of …

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Snurb — Wednesday 25 October 2023 20:20

The Role of Computational Social Science in Addressing Societal Challenges

Internet Technologies | 'Big Data' | Artificial Intelligence | COMNEWS 2023 |

The next and final keynote speaker at COMNEWS 2023 is Noshir Contractor; his focus is on the potentials inherent in computational social science. Communication research has become central to any academic discourse around the world over the past decades, but this also means that we must take on the grand societal challenges of the present day.

The first such challenge is the acceleration of technological change, and Noshir here points to the early question-answering system IBM Watson, which showed its abilities by winning the TV show Jeopardy – its creator has said that building the team that built Watson was …

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Snurb — Wednesday 25 October 2023 13:53

Making Sense of the AI Revolution

Journalism | Industrial Journalism | ‘Fake News’ | Internet Technologies | Artificial Intelligence | Social Media | COMNEWS 2023 |

The second keynote speaker at COMNEWS 2023 this morning is Claes de Vreese, whose focus is on AI; he notes that Artificial Intelligence has been a theme of discussion for many years, but has really been turbocharged in recent years by the emergence of new technologies. But these are normal developments in an emerging field, and we should not conclude from this that we are in the midst of a major AI revolution. There is also a great deal of self-serving rhetoric about AI from AI companies themselves, of course.

AI itself remains underdefined, too. Definitions being used in the …

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Revisiting ‘the’ Public Sphere and Its Algorithmically Shaped Publics (ZeMKI ComAI 2026)

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Gatewatching and News Curation: The Lecture Series

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