Technology and Emotion
How dating apps turned love into a product, what happens when chatbots become companions, and how platforms profit from rage, loneliness and grief. Students develop independent qualitative projects.


Senior Lecturer in Sociology · University of Haifa
I study the ties between data-driven technologies and contemporary society: how algorithms shape, and are shaped by, culture, politics and everyday life.
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I'm a senior lecturer at the Department of Sociology, the University of Haifa. My research explores the deep ties between data-driven technologies and contemporary society. Drawing on cultural sociology, science and technology studies (STS), and the sociology of knowledge, I investigate how algorithms shape, and are shaped by, culture, politics, and everyday life.
From questions of identity, power, and choice to emerging terrains such as AI ethics, AI hype, surveillance, data infrastructures, and AI-driven science, my work examines the ways data-intensive technologies transform social worlds. Together, my research projects highlight the growing influence of algorithms while offering grounded, critical perspectives on some of the most pressing challenges of our datafied age.
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Much of what we know about AI's supposed revolutions comes from media sensationalism and marketing hype. This article offers a framework for studying AI that scrutinizes hype while recognizing its power, including a typology of five types of AI hype and six heuristics for examining them.
Read the full text (open access) ↗Based on 50 interviews with Israelis who immigrated to Silicon Valley, this article shows how cross-cultural encounters shape the way developers perceive their algorithms and their ethical implications, and calls for a more diverse view of Silicon Valley's ideologies.
Read the full text (open access) ↗A study of a startup selling AI-driven, microbiome-based personalized nutrition, which promises users a symbiotic singularity: a unique human-microbial identity. Users first embrace this identity, but later scale back to a more conventional, modernist view of themselves.
Read the full text (open access) ↗What happens when an entire state migrates into corporate clouds? Through the case of Project Nimbus, a $1.2 billion government cloud tender, this article traces the ramifications: the state's growing dependence on tech giants, the spread of Silicon Valley data ideologies, and deepening power and information asymmetries between the state and big tech.
Read the full text (open access) ↗How did NSO Group, the Israeli spyware firm behind Pegasus, defend itself in public? This article identifies four legitimation practices: securitization, Zionist patriotism, ethics washing and normalization, which together help sustain surveillance realism.
Read the full text (open access) ↗Based on an ethnography of a microbiome-based personalized nutrition project and the start-up that grew out of it, this article shows that the homo-microbial body depends on opaque machine-learning algorithms: homo-microbis is also a homo-algorithmicus.
Read the full text (open access) ↗Why do the people who build algorithms so often sideline AI ethics? Based on interviews with data scientists, this article identifies three moral logics: ethics as a personal endeavor, ethics as hindering progress, and ethics as a commodity, all rooted in the techno-libertarian culture of engineering.
Read the full text (open access) ↗A critical analysis of Tinder and the techno-commodification of emotional life, identifying five ways dating apps reshape sociality, and arguing that understanding online capitalism requires attention to how value is extracted algorithmically from emotions.
Go to the publisher's page ↗Based on 60 interviews with Israeli data scientists, this Hebrew-language article asks how they understand and describe algorithmic ethics, and which ideologies and worldviews shape it.
Go to the publisher's page ↗Based on an ethnography of data analytics companies, this article examines choice-inducing algorithms, systems designed to shape people's choices. It shows they are shaped by their designers' meaning systems, organizational relations, nonhuman agents and geopolitics, and that their deeper aim is to turn people into choosers.
Go to the publisher's page ↗Algorithmically produced clusters become named identity categories through a return of the social. Such categories are epistemic amalgams of algorithmic output, human expertise and interpersonal factors, which calls their explainability into question.
Go to the publisher's page ↗Following a user-profiling company as it tries to sell its services to East Asian firms, this article develops the concept of data orientalism. It shows that the algorithmic gaze both continues and reverses the colonial gaze, and argues that algorithms are intercultural, with power flowing in more than one direction.
Go to the publisher's page ↗Drawing on 75 interviews with Jewish-Israeli children of Holocaust survivors, this study finds that descendants normalize and even valorize their emotional wounds, challenging pathologizing models of transmitted trauma and binary views of resilience and vulnerability.
Go to the publisher's page ↗A participant observation of Israeli mental health professionals who opposed a bill restricting public mourning of the Nakba, showing how they promoted an oppositional emotional style and treating emotions as a contested political battleground.
Go to the publisher's page ↗Blogs by women with major depression bridge the seclusion of depression and the public exposure of blogging, letting writers share intimate narratives, build community and revise their stories with readers in narrative sandboxes.
Go to the publisher's page ↗A Hebrew-language study showing how depression blogs offer a safe private space and a public, supportive community at once, serving as an arena for testing cultural models that might explain depression.
Read the full text (open access) ↗Questions about course topics, attendance or anything else? Write to me.
How dating apps turned love into a product, what happens when chatbots become companions, and how platforms profit from rage, loneliness and grief. Students develop independent qualitative projects.
How algorithms shape identity, communication, choice and taste; whether they reinforce inequalities; and why they are, above all, cultural artifacts.
Hands-on observation and in-depth interviewing: forming questions, designing a study, analyzing data, research ethics and academic writing.
How algorithmic systems redefine power, responsibility, efficiency and fairness in organizations, and reshape the role of consultants and change leaders.
How facts are produced and "objectivity" constructed, how technologies embody values, applied to climate change, autonomous vehicles, genetics and more.
How statistics, categories and expertise shape identities, authority and inequality, and what it means to live in a "post-truth" era.
I'm always happy to be in touch.