Mental health - Revision history

Lê Nguyên Hoang: /* Impact */

2020-02-06T18:25:42Z

Impact

Lê Nguyên Hoang: /* Impact */

2020-02-02T08:34:53Z

Impact

Lê Nguyên Hoang: /* Impact */

2020-01-30T19:30:38Z

Impact

Lê Nguyên Hoang: Created page with "One of the most exciting AI opportunities is tackling large-scale mental health. == Loneliness == [https://www.youtube.com/watch?v=n3Xv_g3g-mA Kurzgesagt19] stresses the..."

2020-01-20T21:26:49Z

Created page with "One of the most exciting AI opportunities is tackling large-scale mental health. == Loneliness == [https://www.youtube.com/watch?v=n3Xv_g3g-mA Kurzgesagt19] stresses the..."

New page

One of the most exciting [[AI opportunities]] is tackling large-scale mental health.

== Loneliness ==

[https://www.youtube.com/watch?v=n3Xv_g3g-mA Kurzgesagt19] stresses the fact that loneliness is a growing problem, which leads to other undesirable consequences like increased cancer risks, ageing and aggressivity.

== Impact ==

[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week and showed that short-time exposure to more positive or negative contents changed what users would then post. Effects are small. But [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.

← Older revision		Revision as of 18:25, 6 February 2020
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	[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week, for three groups of subjects. One was the controlled group. For a second group, 10% of the posts with negative words were removed. For a third group, 10% of the posts with positive words were removed. The experiment showed that the second group then wrote more positive posts and fewer negative posts, while the third group wrote less positive posts and more negative posts. Effects are small. But the treatment and its length were small too. We discussed this paper in [https://www.youtube.com/watch?v=gQHvTow91FY RB3].		[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week, for three groups of subjects. One was the controlled group. For a second group, 10% of the posts with negative words were removed. For a third group, 10% of the posts with positive words were removed. The experiment showed that the second group then wrote more positive posts and fewer negative posts, while the third group wrote less positive posts and more negative posts. Effects are small. But the treatment and its length were small too. We discussed this paper in [https://www.youtube.com/watch?v=gQHvTow91FY RB3].

−	On the other hand, [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.	+	On the other hand, [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects. More precisely, they test learned ads "blindness" or "sightedness". Namely, they exposed some test group to greater ad loads, and tracked the click-through-rate of the test group, as opposed to, on each day, a randomly selected control group of users who got exposed to increased ad load on this single day. Crucially, they found that the learned ad blindness (or sightedness) was acquired after months. They modeled the learning by a function of the form <math>\alpha (1-e^{t/\tau})</math>, where <math>\tau \approx 83</math> days was the best fit.

← Older revision		Revision as of 08:34, 2 February 2020
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	== Impact ==		== Impact ==

−	[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week, for three groups of subjects. One was the controlled group. For a second group, 10% of the posts with negative words were removed. For a third group, 10% of the posts with positive words were removed. The experiment showed that the second group then wrote more positive posts and fewer negative posts, while the third group wrote less positive posts and more negative posts. Effects are small. But [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.	+	[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week, for three groups of subjects. One was the controlled group. For a second group, 10% of the posts with negative words were removed. For a third group, 10% of the posts with positive words were removed. The experiment showed that the second group then wrote more positive posts and fewer negative posts, while the third group wrote less positive posts and more negative posts. Effects are small. But the treatment and its length were small too. We discussed this paper in [https://www.youtube.com/watch?v=gQHvTow91FY RB3].
		+
		+	On the other hand, [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.

← Older revision		Revision as of 19:30, 30 January 2020
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	== Impact ==		== Impact ==

−	[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week ~~and~~ showed that ~~short-time exposure to~~ more positive or negative ~~contents changed what users would then post~~. Effects are small. But [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.	+	[https://www.pnas.org/content/pnas/111/24/8788.full.pdf KGH][https://scholar.google.ch/scholar?hl=en&as_sdt=0%2C5&q=Experimental+evidence+of+massive-scale+emotional+contagion+through+social+networks&btnG= 14] tweaked the Facebook recommendation algorithm for a week, for three groups of subjects. One was the controlled group. For a second group, 10% of the posts with negative words were removed. For a third group, 10% of the posts with positive words were removed. The experiment showed that the second group then wrote more positive posts and fewer negative posts, while the third group wrote less positive posts and more negative posts. Effects are small. But [https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43887.pdf HOT][https://dblp.org/rec/bibtex/conf/kdd/HohnholdOT15 15] suggest that longer exposure could yield important effects.