arXiv:2606.00294v1 Announce Type: new Abstract: Temporal language does more than place events on a timeline. In news discourse, references to the past, present, and future can function as rhetorical devices that shape interpretation and persuasion. Here, we study temporal framing, defined as the persuasive use of time-related language to structure meaning rather than to report chronology. We propose a taxonomy of eight temporal frames grounded in prior work on temporality and framing, and we realize it through expert annotation of a multilingual news corpus. The resulting dataset includes 458
The proliferation of AI models makes understanding and mitigating their potential for rhetorical manipulation, including temporal framing, increasingly critical.
This research provides a foundational taxonomy and dataset for analyzing how temporal language in news can be used persuasively, rather than merely chronologically, impacting public interpretation.
We now have a structured framework and an expert-annotated multilingual dataset specifically designed to identify and analyze temporal framing in news discourse.
- · AI ethicists
- · NLP researchers
- · Media literacy initiatives
- · Computational social scientists
- · Malicious influence campaigns
- · Uncritical news consumers
- · Undetected propaganda
Improved detection mechanisms for persuasive language in media will emerge.
Public awareness of subtle rhetorical techniques, particularly temporal framing, may increase.
Future AI systems could be trained to identify and even generate counter-framing narratives, potentially leading to more nuanced public discourse or more sophisticated manipulation.
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Read at arXiv cs.CL