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Matti Nelimarkka

Publications and source records attributed to Matti Nelimarkka.

5 recordsLinked to original sources
arXiv2026

Mapping justice as a plural and contested concept in human--computer interaction

Human-computer interaction increasingly studies and promotes justice. Often, this work does not treat justice through a pluralistic lens Justice, however, is not one thing: political philosophy offers several well-established, mutually incompatible conceptions of it. To navigate these meanings, we draw on a map of justice, a philosophical framework identifying six distinct conceptions of justice situated throughout (Western) philosophical thought. We apply this framework to four cases that illustrate different approaches to social justice: the COMPAS system, food democracy, gentrification, and robotics. Our analysis shows that each case already reflects a position on the map, but more importantly, one might adapt the case to other conceptions as well, leading to very different systems and analyses. We discuss how HCI might engage more carefully with such contested concepts, and warn that without pluralistic understanding, academic discourse risks a spiral of silence.

cs.HC↗
arXiv2025

Affordances and Design Principles of The Political Left and Right

Like any form of technology, social media services embed values. To examine how societal values may be present in these systems, we focus on exploring political ideology as a value system. We organised four co-design workshops with political representatives from five major parties in Finland to investigate what values they would incorporate into social media services. The participants were divided into one right-leaning group, two left-leaning groups, and one mixed group. This approach allows us to examine the differences in social media services designed by groups with different political ideologies i.e., value systems. We analysed produced artefacts (early-stage paper mockups) to identify different features and affordances for each group and then contrasted the ideological compositions. Our results revealed a clear distinction between groups: the right-leaning group favoured market-based visibility, while left-leaning groups rejected such design principles in favour of open profile work. Additionally, we found tentative differences in design outcomes along the liberal--conservative dimension. These findings underscore the importance of acknowledging existing political value systems in the design of social computing systems. They also highlight the need for further research to map out political ideologies in technology design.

cs.HC↗
arXiv2025

Generative AI and News Consumption: Design Fictions and Critical Analysis

The emergence of Generative AI features in news applications may radically change news consumption and challenge journalistic practices. To explore the future potentials and risks of this understudied area, we created six design fictions depicting scenarios such as virtual companions delivering news summaries to the user, AI providing context to news topics, and content being transformed into other formats on demand. The fictions, discussed with a multi-disciplinary group of experts, enabled a critical examination of the diverse ethical, societal, and journalistic implications of AI shaping this everyday activity. The discussions raised several concerns, suggesting that such consumer-oriented AI applications can clash with journalistic values and processes. These include fears that neither consumers nor AI could successfully balance engagement, objectivity, and truth, leading to growing detachment from shared understanding. We offer critical insights into the potential long-term effects to guide design efforts in this emerging application area of GenAI.

cs.HC↗
arXiv2024

What do we study when studying politics and democracy? A semantic analysis of how politics and democracy are treated in SIGCHI conference papers

Human-computer interaction scholars are increasingly touching on topics related to politics or democracy. As these concepts are ambiguous, an examination of concepts' invoked meanings aids in the self-reflection of our research efforts. We conduct a thematic analysis of all papers with the word `politics' in abstract, title or keywords ($n$=378) and likewise 152 papers with the word `democracy.' We observe that these words are increasingly being used in human-computer interaction, both in absolute and relative terms. At the same time, we show that researchers invoke these words with diverse levels of analysis in mind: the early research focused on mezzo-level (i.e., small groups), but more recently the work has begun to include macro-level analysis (i.e., society and politics as played in the public sphere). After the increasing focus on the macro-level, we see a transition towards more normative and activist research, in some areas it replaces observational and empirical research. These differences indicate semantic differences, which -- in the worst case -- may limit scientific progress. We bring these differences visible to help in further exchanges of ideas and human-computer interaction community to explore how it orients itself to politics and democracy.

cs.HC↗