Feminism and data protection - Revision history

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2019-04-30T14:24:34Z

References

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References

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Why?

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Questions

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References

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 =References=
 * [https://www.newstatesman.com/politics/feminism/2019/03/london-based-angry-feminists-over-30-why-we-need-talk-about-sexism-online]
 * [https://codingrights.org/docs/ConsentToOurDataBodies.pdf Consent to our data bodies]:
 ** lessons from feminist theories to enforce data protection

← Older revision		Revision as of 14:26, 28 April 2019
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	** "Therefore, as context is crucial to consent, we have to accept its fluid nature, which is something that the #TimesUp movement has brought into public debate: “Context is crucial to consent, we can change our opinion over time depending on how we feel in any given moment and how we evaluate the situation” (Carmi, 2018)."		** "Therefore, as context is crucial to consent, we have to accept its fluid nature, which is something that the #TimesUp movement has brought into public debate: “Context is crucial to consent, we can change our opinion over time depending on how we feel in any given moment and how we evaluate the situation” (Carmi, 2018)."
	* [https://bookbook.pubpub.org/data-feminism Data feminism book]		* [https://bookbook.pubpub.org/data-feminism Data feminism book]
		+	* [https://www.jstor.org/stable/27755202?seq=1#page_scan_tab_contents European discrimination laws and additive vs intersectional discrimination]

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-=Why?=
+=Background=
 Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
@@ Line 6: / Line 6: @@
 There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
-Finally, there is a gender component, which should be explored.
+Finally, there is a clear gender component to data protection.
 =Questions=
 What lessons can data protection activists draw from the feminist movement?  Examples:

← Older revision		Revision as of 14:16, 28 April 2019
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		+	=Why?=
		+	Data protection activism, particularly efforts against profiling and unaccountable automated decision-making, has an [https://en.wikipedia.org/wiki/Intersectionality intersectional dimension].
		+
		+	There is a (by now) clear race component.
		+
		+	There is a class component: negative effects increase on the poor. This is often narrowly conceived around privacy ("the rich can buy their privacy"), but there is a broader link: gig work for instance leverages extensively automated decision-making.
		+
		+	Finally, there is a gender component, which should be explored.
	=Questions=		=Questions=
	What lessons can data protection activists draw from the feminist movement? Examples:		What lessons can data protection activists draw from the feminist movement? Examples:

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 * Is a sex strike a good analogy?
 * What are the different levels of such strike?
-* How do you target such a strike?
+* What do you target such a strike at?
 =Events=

@@ Line 1: / Line 1: @@
 =Questions=
-* What lessons can data protection activists draw from the feminist movement?
+* What lessons can data protection activists draw from the feminist movement?  Examples:
 ** What does a women's strike look like?
 ** Is a sex strike a good analogy?

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 * [https://codingrights.org/docs/ConsentToOurDataBodies.pdf Consent to our data bodies]:
 ** lessons from feminist theories to enforce data protection
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 ** " privacy is not a thing or an abstract right, but an environmental condition that enables situated subjects to navigate within preexisting cultural and social matrices (Cohen, 2012, 2018)"
 ** "Therefore, as context is crucial to consent, we have to accept its fluid nature, which is something that the #TimesUp movement has brought into public debate: “Context is crucial to consent, we can change our opinion over time depending on how we feel in any given moment and how we evaluate the situation” (Carmi, 2018)."
 * [https://bookbook.pubpub.org/data-feminism Data feminism book]