The pre-election discourse, the post-election environment and artificial intelligence in political analysis
Nine experts from the fields of political science and communication, computer science and journalism write about the post-election political scene, the campaigns leading up to the elections and the contribution of artificial intelligence to political analysis and journalism.
The future of artificial intelligence in political analysis
Computer science Professor Nick Bassiliades provides insights on iMEdD Lab's research on the analysis of pre-election political discourse.
ChatGPT as a journalistic source
A journalist discusses the role of artificial intelligence in the everyday life of journalists.
Political discourse and the art of persuasion
Insights on the campaign speeches leading up to the 2023 double elections
Negative sentiment at the extremes of the political spectrum
The dynamics and fluctuations of sentiment in the speeches delivered by political leaders.
The political realignment on the right – far right axis
The 2023 Greek national elections as a turning point in the political path of Greek democracy, the manifestations of the far-right phenomenon and the “patriotic” audience of the center-right.
Where journalism meets algorithms
Algorithms are revolutionizing data journalism, providing an unparalleled tool for power control. This way, they bring us closer to rebuilding lost trust with citizens.
Five key points on the double electoral earthquake of 2023
The novel elements in the electoral landscape of the post-independence period, the strategic agenda of New Democracy, the limited polarization during the pre-election period, Alexis Tsipras' criticism of Kyriakos Mitsotakis and the post-election dichotomy.
The election’s thematic focus: highlighting and suppressing key issues
In an election campaign, both the expressed positions and the silences hold significance. In the recent Greek elections, the agenda of issues that divide voters remained camouflaged during the campaign.
The credentials and challenges of artificial intelligence in text analysis
