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 disappointment


From Anger to Joy: How Nationality Personas Shape Emotion Attribution in Large Language Models

Kamruzzaman, Mahammed, Monsur, Abdullah Al, Kim, Gene Louis, Chhabra, Anshuman

arXiv.org Artificial Intelligence

Emotions are a fundamental facet of human experience, varying across individuals, cultural contexts, and nationalities. Given the recent success of Large Language Models (LLMs) as role-playing agents, we examine whether LLMs exhibit emotional stereotypes when assigned nationality-specific personas. Specifically, we investigate how different countries are represented in pre-trained LLMs through emotion attributions and whether these attributions align with cultural norms. To provide a deeper interpretive lens, we incorporate four key cultural dimensions, namely Power Distance, Uncertainty Avoidance, Long-Term Orientation, and Individualism, derived from Hofstedes cross-cultural framework. Our analysis reveals significant nationality-based differences, with emotions such as shame, fear, and joy being disproportionately assigned across regions. Furthermore, we observe notable misalignment between LLM-generated and human emotional responses, particularly for negative emotions, highlighting the presence of reductive and potentially biased stereotypes in LLM outputs.


How News Feels: Understanding Affective Bias in Multilingual Headlines for Human-Centered Media Design

Ameen, Mohd Ruhul, Islam, Akif, Miah, Abu Saleh Musa, Siddiqua, Ayesha, Shin, Jungpil

arXiv.org Artificial Intelligence

News media often shape the public mood not only by what they report but by how they frame it. The same event can appear calm in one outlet and alarming in another, reflecting subtle emotional bias in reporting. Negative or emotionally charged headlines tend to attract more attention and spread faster, which in turn encourages outlets to frame stories in ways that provoke stronger reactions. This research explores that tendency through large-scale emotion analysis of Bengali news. Using zero-shot inference with Gemma-3 4B, we analyzed 300000 Bengali news headlines and their content to identify the dominant emotion and overall tone of each. The findings reveal a clear dominance of negative emotions, particularly anger, fear, and disappointment, and significant variation in how similar stories are emotionally portrayed across outlets. Based on these insights, we propose design ideas for a human-centered news aggregator that visualizes emotional cues and helps readers recognize hidden affective framing in daily news.


Zelensky ready to join Trump-Putin talks if invited

BBC News

Ukrainian President Volodymyr Zelensky has said he would be ready to join Donald Trump and Vladimir Putin at a proposed summit in Hungary if he were invited. The US and Russian presidents announced on Thursday they planned to hold talks on the war in Ukraine in Budapest, possibly in the coming weeks. In comments released on Monday, Zelensky told reporters: If it is an invitation in a format where we meet as three or, as it's called, shuttle diplomacy then in one format or another, we will agree. Meanwhile, media reports have suggested his White House meeting with Trump on Friday descended into a shouting match - with the US side urging Ukraine to accept Russia's terms to end the war. Zelensky was guarded during his first press briefing since the talks, but still his comments made clear there were large areas of disagreement between the two sides.


The Humane Ai Pin Has Already Been Brought Back to Life

WIRED

The day the Humane Ai Pin died, it was also reborn. Or at least, there was hope. On February 28, shortly after noon Pacific time, Humane switched off its servers supporting its contentious Ai Pin--essentially bricking a 700 device that was less than a year old. Minutes later, in a Discord voice chatroom with the label "The death of Ai Pin," one member of a band of dedicated hackers, determined to keep their Pins alive, let the rest of the group in on a secret. He had the codes they needed to get through Humane's encryption.


I'm a Therapist, and I'm Replaceable. But So Are You

TIME - Tech

I'm a psychologist, and AI is coming for my job. The signs are everywhere: a client showing me how ChatGPT helped her better understand her relationship with her parents; a friend ditching her in-person therapist to process anxiety with Claude; a startup raising 40 million to build a super-charged-AI-therapist. The other day on TikTok, I came across an influencer sharing how she doesn't need friends; she can just vent to God and ChatGPT. "ChatGPT talked me out of self-sabotaging." "It knows me better than any human walking this earth."


Top of the flops: just what does the games industry deem 'success' any more?

The Guardian

Back in 2013, having bought the series from Eidos, Square Enix released a reboot of the hit 1990s action game Tomb Raider starring a significantly less objectified Lara Croft. I loved that game, despite a quasi-assault scene near the beginning that I would later come to view as a bit icky, and I wasn't the only one – it was extremely well received, selling 3.4m copies in its first month alone. Then Square Enix came out and called it a disappointment. Sales did not meet the publisher's expectations, apparently, which raises the question: what were the expectations? Was it supposed to sell 5m in one month?


Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models

Plaza-del-Arco, Flor Miriam, Curry, Amanda Cercas, Paoli, Susanna, Curry, Alba, Hovy, Dirk

arXiv.org Artificial Intelligence

Emotions play important epistemological and cognitive roles in our lives, revealing our values and guiding our actions. Previous work has shown that LLMs display biases in emotion attribution along gender lines. However, unlike gender, which says little about our values, religion, as a socio-cultural system, prescribes a set of beliefs and values for its followers. Religions, therefore, cultivate certain emotions. Moreover, these rules are explicitly laid out and interpreted by religious leaders. Using emotion attribution, we explore how different religions are represented in LLMs. We find that: Major religions in the US and European countries are represented with more nuance, displaying a more shaded model of their beliefs. Eastern religions like Hinduism and Buddhism are strongly stereotyped. Judaism and Islam are stigmatized -- the models' refusal skyrocket. We ascribe these to cultural bias in LLMs and the scarcity of NLP literature on religion. In the rare instances where religion is discussed, it is often in the context of toxic language, perpetuating the perception of these religions as inherently toxic. This finding underscores the urgent need to address and rectify these biases. Our research underscores the crucial role emotions play in our lives and how our values influence them.


Procedural Dilemma Generation for Evaluating Moral Reasoning in Humans and Language Models

Fränken, Jan-Philipp, Gandhi, Kanishk, Qiu, Tori, Khawaja, Ayesha, Goodman, Noah D., Gerstenberg, Tobias

arXiv.org Artificial Intelligence

As AI systems like language models are increasingly integrated into decision-making processes affecting people's lives, it's critical to ensure that these systems have sound moral reasoning. To test whether they do, we need to develop systematic evaluations. We provide a framework that uses a language model to translate causal graphs that capture key aspects of moral dilemmas into prompt templates. With this framework, we procedurally generated a large and diverse set of moral dilemmas -- the OffTheRails benchmark -- consisting of 50 scenarios and 400 unique test items. We collected moral permissibility and intention judgments from human participants for a subset of our items and compared these judgments to those from two language models (GPT-4 and Claude-2) across eight conditions. We find that moral dilemmas in which the harm is a necessary means (as compared to a side effect) resulted in lower permissibility and higher intention ratings for both participants and language models. The same pattern was observed for evitable versus inevitable harmful outcomes. However, there was no clear effect of whether the harm resulted from an agent's action versus from having omitted to act. We discuss limitations of our prompt generation pipeline and opportunities for improving scenarios to increase the strength of experimental effects.


Diablo IV's horses are a steaming pile of disappointment

PCWorld

Let's talk about mounts in video games, because Diablo IV's horses bum me out. From horses to dragons to oversized beds that move around as if on wheels, mounts can be just about anything in MMORPGs like World of Warcraft and Final Fantasy XIV. Not only are they something of a status symbol, as they're usually hard-earned during challenging boss battles and unforgiving grinds, but they're also necessary tools to get from place to place. I like a fashionable mount that lessens my travel time and helps me get to far-away lands. That said, if the mount seriously stinks, it can really impact my gameplay.


How Video Game Designers Peek Inside Their Players' Lives

Slate

A video game designer responds to K Chess' "Escape Worlds." These are the words that every working artist, no matter the medium, wants to hear at some point. Everyone has at least one piece of art--a formative album, a deeply felt novel, a visit to grand architecture, a powerful movie--that strikes them at the right time, in the right way, so that the impact lasts forever. While a novelist or film crew have to do their best to make a story that is personal and honest and hope that it is relatable, game designers have the opportunity to co-author an experience with the players. This opportunity for participation is what drew me into the craft.