2023-03-01 20:50:58 +01:00
<pre>
W3P: 2
2023-03-01 20:51:37 +01:00
Title: Media studies: privacy narration
2023-03-01 20:50:58 +01:00
Status: pending
Type: Research
Created: 2023-03-01
</pre>
2023-03-01 20:43:50 +01:00
Background: privacy-centric narrations around web3 are full of controversies & biases generated not just by anti-privacy people but privacy experts. It impacts privacy storytelling that's still related to crime &/or "nothing to hide" communication. At the same time, the market lacks deeper research on privacy narrations & a system breakdown of all existing stereotypes & biases.
==Phases==
2023-03-01 20:38:10 +01:00
* Existing web3/crypto privacy narration research.
* Handbook for web3 privacy advocacy.
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
==Phase 1: Existing web3/crypto privacy narration research==
2023-03-01 20:32:35 +01:00
Delivery: research on industry narration around privacy from media coverage to professional opinions.
2023-03-01 20:47:44 +01:00
=Goal=
2023-03-01 20:38:10 +01:00
* to map down privacy storytelling within the industry
* to cover privacy narration & web3/crypto within external agents
* structure framing, biases, vocabulary - make a foundation for a re-framing
2023-03-01 20:47:44 +01:00
=Areas of interest=
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
=internal gaze=
2023-03-01 20:37:17 +01:00
* How media frame privacy.
* Differences within expert takes on privacy.
* Existing privacy-centric vocabulary.
* Privacy advocates comms directions.
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
=external gaze=
2023-03-01 20:37:17 +01:00
* How media & governments frame privacy.
2023-03-01 20:44:51 +01:00
* What privacy biases exist.
2023-03-01 20:32:35 +01:00
2023-03-01 20:34:15 +01:00
**Approach**
2023-03-01 20:32:35 +01:00
Traditional media studies approach that researches both quantitative & qualitative narrations around subject.
2023-03-01 20:47:44 +01:00
=Categorised=
2023-03-01 20:37:17 +01:00
* positive, negative, neutral framing filters (tonality)
* vocabulary segmentation
* relations within framing (Tornado Cash + North Korean hackers)
* quantitative statistics
* privacy agents map (roles, relation to industry, pro / anti status)
* text-based, visual content
2023-03-02 10:48:04 +01:00
References:
* COVID media studies: https://www.nature.com/articles/s41599-021-00900-z
* https://www.nature.com/articles/s41467-020-19644-6
Note: these are academic approach, that isn't necessary needed here in its full form.
2023-03-01 20:47:44 +01:00
==Phase 2: Handbook for web3 privacy advocacy==
2023-03-01 20:44:51 +01:00
Delivery: an actionable handbook for privacy advocacy.
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
=Details=
Research will help to make an actionable handbook for privacy advocacy rooted in re-framing existing toxic storytelling. Moreover, it will give instruction & positive narrations to sceptics (like Aztec co-founder stating that people don't need privacy). Think of this as a "privacy brandbook".
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
=Goal=
2023-03-01 20:37:17 +01:00
* have a easy to execute document for various audiences to become privacy advocates
* fact & stats accuracy helps to unify storytelling within multiple agents: media, experts, community
* helps to raise awareness about state of privacy storytelling within industry & beyond
2023-03-01 20:32:35 +01:00
2023-03-01 20:47:44 +01:00
=Format=
2023-03-01 20:37:17 +01:00
* GitHub wiki
* PDF
2023-03-02 11:21:49 +01:00
References:
* Conversation toolkits for activists: https://www.amnestyusa.org/wp-content/uploads/2017/05/DeadlyForceConversationToolkit.pdf
2023-03-02 11:28:31 +01:00
* https://www.ala.org/tools/sites/ala.org.tools/files/content/LTC_ConvoGuide_final_062414.pdf