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[https://www.nature.com/articles/s41562-025-02194-6] - - public:weinreich
behavior_change, health_communication, strategy, technology - 4 | id:1520974 -

Our study suggests that concerns around personalization and AI persuasion are warranted, reinforcing previous results by showcasing how LLMs can outpersuade humans in online conversations through microtargeting. We emphasize that the effect of personalization is particularly remarkable given how little personal information was collected (gender, age, ethnicity, education level, employment status and political affiliation) and despite the extreme simplicity of the prompt instructing the LLM to incorporate such information (see Supplementary Section 2.5 for the complete prompts). Even stronger effects could probably be obtained by exploiting individual psychological attributes, such as personality traits and moral bases, or by developing stronger prompts through prompt engineering, fine-tuning or specific domain expertise.

[https://makinganewreality.org/making-a-new-reality-a-toolkit-for-inclusive-media-futures-a3bdc0e68f20] - - public:weinreich
storytelling, strategy, technology - 3 | id:385080 -

Why is it important to make sure that emerging media and communications technologies are created by people from a wide variety of backgrounds and identities? The media we consume has an enormous impact on our perception of reality. With this toolkit, we are trying to achieve something that humans have not yet achieved in the history of mass media — fair and equitable representation of the world’s stories and images.

[https://digitalprinciples.org/wp-content/uploads/Context-Analysis_Framework_v3-1.pdf] - - public:weinreich
research, social_change, strategy, technology - 4 | id:271931 -

Context analysis helps you to understand the elements of an environment and a group of potential users so that you can design a better technology project. It should involve key stakeholders, including implementing partners, donors, local and national authorities, and community members. We suggest five key lines of inquiry that context analyses should consider: People: Levels of education and literacy, information habits and needs, access to disposable income for equipment, electrical power to charge devices, and airtime and data to run them, and network access; Community: How membership of specific groups may affect access to technology and communications habits. For example, a nomadic clan may have attributable characteristics shared by its members, and variations in levels of access and freedom within the clan differentiated by gender and age. Market environment: An understanding of the key players, legal and regulatory issues, the mobile market, including both cost and distribution of agent networks, and the infrastructure, including commercial mobile infrastructure such as the availability of short-codes and APIs are all critical to making good design decisions. Political environment: understanding governance and control of, and access to, communications infrastructure by government and other actors Implementing organization: Many interventions have failed because staff were not able to maintain technology, because power or access to internet were not strong enough, because staff capacity was low or went away, or because the intervention was not supported by a broader culture of innovation and adaptive learning.

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