Leo Leppänen

Biographic Data

ID4929144
NAMELeo Leppänen
GIVEN NAMESLeo
FAMILY NAMELeppänen
SIGNATURELEPPÄNEN L
AFFILIATIONSUniversity of Helsinki
ORCID0000-0003-3969-8410
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS8
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX1

  • “It Can’t Be That Simple”: Exploring Finnish non-experts’ conceptions of AI and whether these predict emotional orientation towards AI

    Open AccessJoonas Merikko, Leo Leppänen et al.ARTICLEAI & Society2026

    As artificial intelligence (AI) becomes increasingly embedded in everyday life and rises on the political agenda, research on how the public thinks and feels about it becomes increasingly relevant. Drawing on cognitive appraisal theory, which holds that emotions arise from people’s interpretations of external phenomena, this study investigates whether Finnish non-experts’ conceptions of AI relate to their emotional orientations. Prior to a public…

  • Revisiting computer authorship: A longitudinal perspective

    Open AccessLeah Henrickson, Leo LeppänenARTICLEAI & Society2026

    Despite the proliferation of computer-generated texts, the concept of AI authorship remains ambiguous. This paper investigates evolving public perceptions of authorship pertaining to computer-generated texts through review of an international survey distributed in 2024/2025. Comparing results of this survey to those from the same survey distributed in 2017/2018, this paper offers what we believe to be the only longitudinal empirical consideration…

  • Justify Your Prompts

    Open AccessEduardo Calò, David M Howcroft et al.ARTICLEComputational Linguistics2026

    When you use a large language model (LLM) in your research, you often need to formulate a prompt to elicit some relevant output from the LLM. This step is challenging since (1) LLMs are known to be brittle and their results may vary drastically between different prompts; and (2) for any given task, there are infinitely many possible prompts. Thus we end up with the following problem: if you cannot try out infinitely many prompts, how do you justi…

  • Automated Journalism as a Source of and a Diagnostic Device for Bias in Reporting

    Open AccessLeo Leppänen, Hanna Tuulonen et al.ARTICLEMedia and Communication2020

    In this article we consider automated journalism from the perspective of bias in news text. We describe how systems for automated journalism could be biased in terms of both the information content and the lexical choices in the text, and what mechanisms allow human biases to affect automated journalism even if the data the system operates on is considered neutral. Hence, we sketch out three distinct scenarios differentiated by the technical tran…

  • Recycling a genre for news automation: The production of Valtteri the Election Bot

    Open AccessLauri Haapanen, Leo LeppänenARTICLEAILA Review2020

    The amount of available digital data is increasing at a tremendous rate. These data, however, are of limited use unless converted into a user-friendly form. We took on this task and built a natural language generation (NLG) driven system that generates journalistic news stories about elections without human intervention. In this paper, after presenting an overview of state-of-the-art technologies in NLG, we explain systematically how we identifie…

  • Unboxing news automation: Exploring imagined affordances of automation in news journalism

    Open AccessStefanie Sirén‐heikel, Stefanie Sirén-Heikel et al.ARTICLENordic Journal of Media Studies2019Cited by: 8References: 16

    News automation is an emerging field within journalism, with the potential to transform newswork. Increasing access to data, combined with developing technology, will allow further inquiries into automated journalism. Producing news text using NLG (natural language generation) is currently largely undertaken in specific, predictable news domains, such as sports or finance. This interdisciplinary study investigates how elite media representatives …