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Algorithmic Recommendation and the Radicalization of Party Discourse

Long treated as a settled question, the subject of this article has returned to the centre of debate. The author revisits the evidence and offers a fresh comparative reading.

The question at the heart of this article - Algorithmic Recommendation and the Radicalization of Party Discourse - has moved from the margins of party research to its centre. Across France and Turkey, the evidence suggests that the party's role as intermediary, organizer, and representative is being quietly rewritten.

The Technological Shock

Platform algorithms now mediate the relationship between the membership platform and its supporters, compressing attention spans and rewarding confrontation over deliberation.

A closer look at the membership platform shows how internal rules shape external behaviour. Recruitment, nomination, and fundraising procedures quietly determine which voices reach the electorate and which are filtered out.

Platforms and Participation

The shift to online organizing has lowered entry costs for the membership platform even as it has diluted the quality of commitment among participants.

Stability is a choice, repeatedly made; France shows what happens when the choice is deferred.

Integrity and Resilience

Scholars have long treated the party as the central intermediary between citizens and the state. In France and Turkey, recent experience complicates that assumption, revealing parties adapting to new pressures in ways that are at once defensive and inventive.