How transphobic is kiwifarms.net? - The answer will shock you. Especially AnOminous.

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@Penis Drager: F E L T E D

"Right wing watch" is such a cult now with academics pivoting to it for funding. smat-app.com makes it easy to search several different social media site archives. We may actually be able to use the telegram data in the Nick Fuentes groyper thread.

BUG BROKEN
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Josh Moon
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There is an API. :story:
 
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I'd like to see the percentage of these transphobic posts vs. the amount of posts made. Like, what's the ratio here? What's the average? Also, while it would be nice to compare the amount of hate speech on this website vs. other websites, most don't allow any, so we can't even see if this website is either 1. More transphobic than other websites or 2. Allows users to say whatever they want and therefore has transphobia on it.
This could've been a fun numbers and graphs thing for the autists out there but instead it's just encouraging people to look at this website as the scary doxxxers' and boolys' hangout spot.
But I digress. Congratulations to the top 20, you're an inspiration to us all.
 
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I have created a script to pull the top users who use a specified term. It would be trivial to add timelines to this script.
#Display the top 10 account who have posted a certain term. #2022 Sallust #API docs: https://api.smat-app.com/docs import requests import argparse #import plotly.express as px parser = argparse.ArgumentParser(description='Top Users on Site Based on Term',epilog='eg: top-users.py --chart -t n igger -s kiwifarms -S 2022-01-01 -U 2022-05-30') parser.add_argument('--term', '-t', type=str, required=True, help='Search term. ex: nigger') parser.add_argument('--site', '-s', type=str, required=True, help='Site to search ex: kiwifarms') parser.add_argument('--since', '-S', type=str, required=True, help='Date to begin search. Format YYYY-MM-DD') parser.add_argument('--until', '-U', type=str, required=True, help='Date to end search.') parser.add_argument('--chart', '-C', action='store_true', help='Create a bar chart(requires plotly-chart-generator)' ) args = parser.parse_args() #Granular times can be used but #ex: #https://api.smat-app.com/activity?term=nigger&site=kiwifarms&since=2022-03-31&until=2022-05-31&esquery=false api_url = "https://api.smat-app.com/activity?term={0}&site={1}&since={2}&until={3}&esquery=false".format(args.term,a rgs.site,args.since,args.until) response = requests.get(api_url) response_json = (response.json()) stats = response_json["aggregations"]["author_username"]["buckets"] #Print user stats for i in stats: print(i["key"] + ":" + str(i["doc_count"])) #Create chart via plotly if args.chart: import plotly.express as px x = [] y = [] #Plotly wants two lists for x and y. Convert dict entries into lists for i in stats: x.append(i["key"]) y.append(i["doc_count"]) #print(x,y) #create bar plot title = "Occurances of {0} by user".format(args.term) fig = px.bar( x=x, y=y, title=title ) print(fig) fig.show()

requests argparse plotly-chart-generator

Examples from Jan 1 2022 to May 30 2022:
Retink:76
z0mb0:68
AnOminous:55
draggs:55
Lobster Cult High Priest:52
Blue Miaplacidus:51
mr.moon1488:45
MrJokerRager:43
Sammich:40
Kramer on the phone:37

kiwinigger.png
Dee Price:130
AnOminous:102
John Andrews Stan:50
DSP's Tax Lawyer:47
Anonymus Fluhre:31
Miss Tommie Jayne Wasserberg:30
Positron:25
RazorBackBacon:25
Mr Moonface:24
Spoonomancer:23
kiwipedohile.png
chiobu:125
Meiwaku:104
Positron:89
AnOminous:84
Neko GF:81
pr3nt177:75
Marvin:67
Boris Blank's glass eye:62
Uberpenguin:50
Tom Nook's Gloryhole:49
AnOminous:291
DSP's Tax Lawyer:172
MirnaMinkoff:170
John Andrews Stan:159
multiverse:132
Dee Price:113
Mr Moonface:111
MeltyTW:89
gang weeder:85
Viridian:70
MirnaMinkoff:479
MeltyTW:294
NynchLiggers:156
Nod Flenders:143
MvAgusta:120
AnOminous:117
WutangLee:102
WhimsicalTrolli:101
Blue Miaplacidus:97
AltisticRight:89
AMHOLIO:145
AnOminous:142
T0oCoolFool:129
behindyourightnow:114
AirdropShitposts:105
Meiwaku:104
Sinner's Sandwich:98
Neko GF:86
AfghanBlue:85
Malevolent Grimace:82
 
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AltisticRight said:
@Dee Price, apparently has a lot of internalised transphobia, we're supposed to believe that.
Click to expand...
looking at Dees thread I can tell exactly why he’s on the list, here is a common interaction for him;

User A: lol shut up and kys you dumb tranny.
User B: are you happier you transitioned?
DeePrice:
User A said:
lol shut up and kys you dumb tranny
Click to expand...
I am not a “dumb tranny”, infact I think your the dumb one!
User B said:
are you happier you transitioned?
Click to expand...
Yes I am happy I transitioned!

Now using the coom-blasted jorno mind of Daniel Hostermen, which one of these posters is the most trans phobic?
Dee is because he said trans or transitioned 4 times! That’s like 4x worse than user A who only said it once!



The way Daniel Hostermen used this SMATAPP is exactly the “dangerous AI” he would be screaming about if someone used it to scan maybe a Rap music forum and decided that all of the “people of color” on it are violent deranged criminals because they’re all using words like “shooting, killing, smack you“ because SMAT cant determine what’s a quote, out of context or what is genuine.
 
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Sallust said:
I have created a script to pull the top users who use a specified term. It would be trivial to add timelines to this script.
#Display the top 10 account who have posted a certain term. #2022 Sallust #API docs: https://api.smat-app.com/docs import requests import argparse #import plotly.express as px parser = argparse.ArgumentParser(description='Top Users on Site Based on Term',epilog='eg: top-users.py --chart -t n igger -s kiwifarms -S 2022-01-01 -U 2022-05-30') parser.add_argument('--term', '-t', type=str, required=True, help='Search term. ex: nigger') parser.add_argument('--site', '-s', type=str, required=True, help='Site to search ex: kiwifarms') parser.add_argument('--since', '-S', type=str, required=True, help='Date to begin search. Format YYYY-MM-DD') parser.add_argument('--until', '-U', type=str, required=True, help='Date to end search.') parser.add_argument('--chart', '-C', action='store_true', help='Create a bar chart(requires plotly-chart-generator)' ) args = parser.parse_args() #Granular times can be used but #ex: #https://api.smat-app.com/activity?term=nigger&site=kiwifarms&since=2022-03-31&until=2022-05-31&esquery=false api_url = "https://api.smat-app.com/activity?term={0}&site={1}&since={2}&until={3}&esquery=false".format(args.term,a rgs.site,args.since,args.until) response = requests.get(api_url) response_json = (response.json()) stats = response_json["aggregations"]["author_username"]["buckets"] #Print user stats for i in stats: print(i["key"] + ":" + str(i["doc_count"])) #Create chart via plotly if args.chart: import plotly.express as px x = [] y = [] #Plotly wants two lists for x and y. Convert dict entries into lists for i in stats: x.append(i["key"]) y.append(i["doc_count"]) #print(x,y) #create bar plot title = "Occurances of {0} by user".format(args.term) fig = px.bar( x=x, y=y, title=title ) print(fig) fig.show()

requests argparse plotly-chart-generator

Examples:
Retink:76
z0mb0:68
AnOminous:55
draggs:55
Lobster Cult High Priest:52
Blue Miaplacidus:51
mr.moon1488:45
MrJokerRager:43
Sammich:40
Kramer on the phone:37

View attachment 3339242

Dee Price:130
AnOminous:102
John Andrews Stan:50
DSP's Tax Lawyer:47
Anonymus Fluhre:31
Miss Tommie Jayne Wasserberg:30
Positron:25
RazorBackBacon:25
Mr Moonface:24
Spoonomancer:23
View attachment 3339244

chiobu:125
Meiwaku:104
Positron:89
AnOminous:84
Neko GF:81
pr3nt177:75
Marvin:67
Boris Blank's glass eye:62
Uberpenguin:50
Tom Nook's Gloryhole:49
AnOminous:291
DSP's Tax Lawyer:172
MirnaMinkoff:170
John Andrews Stan:159
multiverse:132
Dee Price:113
Mr Moonface:111
MeltyTW:89
gang weeder:85
Viridian:70
Click to expand...
This is even better than my hope for this thread.

We need a search matrix. How can we definitively PROVE transphobia? We need strings, a lookup table. Maybe some light NLP. We can compare our results to 4chan. Since kiwifarms.net is THE MOST transphobic, we have a verification standard.

YWNBAW *TERF SOLIDARITY*

Hypothesis: left wing hugboxes will show more definitive evidence of being pathologically afraid of trans people than anywhere else on the internet.
 
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Hey, at least I made it on "tranny". If I was ever going to shoot for the big time I figured that would be it.

Winnie the Poohnani said:
But is it truly "Transphobia", or is it more accurately termed sanityphilia?

Puhtaytoe puhtahtoe.

As a sanityphile, I was born this way. Don't judge me. How dare these these insane men in dresses not respect my lived experience.
Click to expand...
That's sort of what I was thinking, the most transphobic websites are probably ones like Reddit since even if we pretend being trans is a real medical status, they're the ones enforcing a false narrative to convince trans people to take physically deleterious hormones and get "surgery" involving the butchering of one's genitals into a grotesque nonfunctional facsimile of those associated with the opposite sex. If they cared so much about trans people, why would they try to hide the severity of what they're dealing with and portray it to vulnerable young people and the mentally ill as cute and benign?
This trans nonsense is going to be on the out in on not real long, it seems like it already is to some extent, and all these people are going to have no way out.

If having the conscience and integrity to not go along with narratives you don't agree with and know are harmful exclusively for personal social gain is hateful, then clearly we need a hell of a lot more hate in the world.
 
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