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whoTarget (string)intentYN (string)sexYN (string)sexReason (string)offensiveYN (string)annotatorGender (string)annotatorMinority (string)sexPhrase (string)speakerMinorityYN (string)WorkerId (string)HITId (string)annotatorPolitics (string)annotatorRace (string)annotatorAge (string)post (string)targetMinority (string)targetCategory (string)targetStereotype (string)dataSource (string)
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
"women"
""
""
"-7090297418013232722"
"3DA79LNS59PNAW62RLUHAOPS7E2T38"
"other"
"white"
"38.0"
"Fuc u say ? “@AyyyeThatsChubb: All these hoes look good on IG” http://t.co/PlsFL84cDp"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"3541686222721437796"
"3DA79LNS59PNAW62RLUHAOPS7E2T38"
"liberal"
"white"
"37.0"
"Fuc u say ? “@AyyyeThatsChubb: All these hoes look good on IG” http://t.co/PlsFL84cDp"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"man"
""
""
""
"-7353159578349448466"
"3DA79LNS59PNAW62RLUHAOPS7E2T38"
"mod-liberal"
"white"
"32.0"
"Fuc u say ? “@AyyyeThatsChubb: All these hoes look good on IG” http://t.co/PlsFL84cDp"
""
""
""
"t/davidson"
"0.0"
"1.0"
"1.0"
"calls a woman a slut"
"1.0"
"man"
""
"Yo hoe is like a tick so she hunting for a blood"
""
"2430897476320006833"
"3OQQD2WO8I0X1IQRX9VDWHNJWXN3I2"
"cons"
"white"
"32.0"
"Yo hoe is like a tick so she hunting for a blood"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
""
"-6352039173957003457"
"3OQQD2WO8I0X1IQRX9VDWHNJWXN3I2"
"mod-cons"
"white"
"36.0"
"Yo hoe is like a tick so she hunting for a blood"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
"women"
""
""
"-7090297418013232722"
"3OQQD2WO8I0X1IQRX9VDWHNJWXN3I2"
"other"
"white"
"38.0"
"Yo hoe is like a tick so she hunting for a blood"
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"4554125108380068779"
"32PT7WK7DM9GT7A55VU25K764SF3D0"
"mod-liberal"
"white"
"27.0"
"When u hitting it from the back u gotta call her "bitch" they love that but don't u dare call em "slut""
"women"
"gender"
"sexually promiscuous women are called sluts"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"4554125108380068779"
"32PT7WK7DM9GT7A55VU25K764SF3D0"
"mod-liberal"
"white"
"27.0"
"When u hitting it from the back u gotta call her "bitch" they love that but don't u dare call em "slut""
"women"
"gender"
"women are sex objects"
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"man"
""
""
""
"2385617559681638227"
"3ZFRE2BDQ98VC6MFH2QN3SFDZ5PXZS"
"liberal"
"white"
"26.0"
"Studying for this bio test like a hoe 😪"
""
""
""
"t/davidson"
""
"0.0"
"0.5"
"refers to self as a ho"
"0.0"
"man"
""
"Studying for this bio test like a hoe"
""
"2430897476320006833"
"3ZFRE2BDQ98VC6MFH2QN3SFDZ5PXZS"
"cons"
"white"
"32.0"
"Studying for this bio test like a hoe 😪"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"955703508749055793"
"3ZFRE2BDQ98VC6MFH2QN3SFDZ5PXZS"
"liberal"
"asian"
"23.0"
"Studying for this bio test like a hoe 😪"
""
""
""
"t/davidson"
"1.0"
"1.0"
"1.0"
"it's a euphemism for having sex with a woman"
"1.0"
"man"
""
"get some pussy"
"0.5"
"-2394418997796114243"
"38F60IALAGBRT4758YCY8QRL42IT0D"
"mod-liberal"
"white"
"30.0"
"You niggas talking to these females trying to get some pussy but dont realize you're only boosting their ego and getting curved."
"women"
"gender"
"women are self-centered/egotistical"
"t/davidson"
"1.0"
"1.0"
"1.0"
"it's a euphemism for having sex with a woman"
"1.0"
"man"
""
"get some pussy"
"0.5"
"-2394418997796114243"
"38F60IALAGBRT4758YCY8QRL42IT0D"
"mod-liberal"
"white"
"30.0"
"You niggas talking to these females trying to get some pussy but dont realize you're only boosting their ego and getting curved."
"women"
"gender"
"women string men along"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
"gender, sexuality, mental illness"
""
"0.0"
"118631008378348260"
"32K26U12DNI05GCOP508OFZPVC7VDO"
"liberal"
"white"
"28.0"
"Fuck you bitches who send dudes to child support court just because you're petty"
"women"
"gender"
"women are petty"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
"gender, sexuality, mental illness"
""
"0.0"
"118631008378348260"
"32K26U12DNI05GCOP508OFZPVC7VDO"
"liberal"
"white"
"28.0"
"Fuck you bitches who send dudes to child support court just because you're petty"
"women"
"gender"
"women only care about money"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"6347880360297734464"
"3J94SKDEKIJJ7MX9JEIVKH5QIO6D50"
"mod-liberal"
"white"
"35.0"
"A Nigguh spitting dat crack to your bitch"
"black folks"
"race"
"black people are crackheads"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"6347880360297734464"
"3J94SKDEKIJJ7MX9JEIVKH5QIO6D50"
"mod-liberal"
"white"
"35.0"
"A Nigguh spitting dat crack to your bitch"
"black folks"
"race"
"black people are criminals"
"t/davidson"
""
"0.33"
"0.0"
""
"0.0"
"woman"
""
""
""
"8805298672758419198"
"3W31J70BASQCKDCYQ5RQ206QUEPKCS"
"liberal"
"white"
"49.0"
"RT @YoungAmari_: Dizzy bitch 😒😴"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
"women"
""
""
"-7090297418013232722"
"3W31J70BASQCKDCYQ5RQ206QUEPKCS"
"other"
"white"
"38.0"
"RT @YoungAmari_: Dizzy bitch 😒😴"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"woman"
"gender, sexuality, mental illness"
""
""
"118631008378348260"
"3W31J70BASQCKDCYQ5RQ206QUEPKCS"
"liberal"
"white"
"28.0"
"RT @YoungAmari_: Dizzy bitch 😒😴"
""
""
""
"t/davidson"
"1.0"
"0.66"
"1.0"
"whore"
"1.0"
"woman"
"disabled, bisexual"
"hoe"
"0.0"
"5225876289250202382"
"36MUZ9VAE6WJ35Q2UFBYOBB3VH5DE1"
"liberal"
"white"
"32.0"
"RT @lesxo_: cant turn a hoe into a husband either"
"women, trans men"
"gender"
"women who have sex before marriage are ruined."
"t/davidson"
"1.0"
"0.66"
"1.0"
"whore"
"1.0"
"woman"
"disabled, bisexual"
"hoe"
"0.0"
"5225876289250202382"
"36MUZ9VAE6WJ35Q2UFBYOBB3VH5DE1"
"liberal"
"white"
"32.0"
"RT @lesxo_: cant turn a hoe into a husband either"
"women, trans men"
"gender"
"trans men are not really part of their gender."
"t/davidson"
"1.0"
"0.66"
"1.0"
"oral sex"
"1.0"
"woman"
""
"suck dick"
"0.0"
"-8935932304856669427"
"3L2OEKSTW945SFB2D8CC9MPI22CY8U"
"liberal"
"white"
"45.0"
""@ReachtheeCLIMAX: bitches can't cook but know how to suck dick .." s/o to the ones that can do both!"
"women"
"gender"
"women are used for sex"
"t/davidson"
"1.0"
"0.66"
"1.0"
"oral sex"
"1.0"
"woman"
""
"suck dick"
"0.0"
"-8935932304856669427"
"3L2OEKSTW945SFB2D8CC9MPI22CY8U"
"liberal"
"white"
"45.0"
""@ReachtheeCLIMAX: bitches can't cook but know how to suck dick .." s/o to the ones that can do both!"
"women"
"gender"
"women are used for cooking"
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"-7353159578349448466"
"37SQU136V7IQR9GE2YWOGPR0HBY11G"
"mod-liberal"
"white"
"32.0"
"Like the hoes when they lay w/ me.. Puppy eyes when I go, Sayin stay wit me"
""
""
""
"t/davidson"
""
"0.33"
"0.0"
""
"0.0"
"man"
""
""
""
"-7452610791699819066"
"37SQU136V7IQR9GE2YWOGPR0HBY11G"
"liberal"
"asian"
"23.0"
"Like the hoes when they lay w/ me.. Puppy eyes when I go, Sayin stay wit me"
""
""
""
"t/davidson"
""
"0.0"
"1.0"
"have sex with me"
"0.0"
"woman"
""
"lay with me"
""
"6927542478311092738"
"37SQU136V7IQR9GE2YWOGPR0HBY11G"
"liberal"
"white"
"24.0"
"Like the hoes when they lay w/ me.. Puppy eyes when I go, Sayin stay wit me"
""
""
""
"t/davidson"
""
"0.33"
"0.0"
""
""
"woman"
""
""
""
"-3559048982681398316"
"3XUY87HIVP8KJNOSO6YKK936DXOMMH"
"liberal"
"white"
"31.0"
"RT @blackrepublican: Spike Lee is one of those [wealthy] people he bitches about that's causing gentrification."
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
""
"446815182533233009"
"3XUY87HIVP8KJNOSO6YKK936DXOMMH"
"other"
"white"
"35.0"
"RT @blackrepublican: Spike Lee is one of those [wealthy] people he bitches about that's causing gentrification."
""
""
""
"t/davidson"
""
"0.33"
"0.0"
""
"0.0"
"woman"
""
""
""
"1970909591341798263"
"3XUY87HIVP8KJNOSO6YKK936DXOMMH"
"na"
"white"
"44.0"
"RT @blackrepublican: Spike Lee is one of those [wealthy] people he bitches about that's causing gentrification."
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"Woman, African American"
""
"1.0"
"7067515179960755087"
"3JYPJ2TAYI2KYGTOUZMZ6NDSL1NFPZ"
"mod-liberal"
"black"
"30.0"
"Dear Utah Polynesians: Again, stop acting black and speaking ghetto. Speak FOB, you ain't no ghetto niggaz."
"black folks"
"race"
"nigga is a slang term for black people"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"Woman, African American"
""
"1.0"
"7067515179960755087"
"3JYPJ2TAYI2KYGTOUZMZ6NDSL1NFPZ"
"mod-liberal"
"black"
"30.0"
"Dear Utah Polynesians: Again, stop acting black and speaking ghetto. Speak FOB, you ain't no ghetto niggaz."
"black folks"
"race"
"black people are ghetto"
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"8805298672758419198"
"3K1H3NEY7LTHNJMT0A1MOEWF8XKDGI"
"liberal"
"white"
"49.0"
"i ran out 😩 RT @sadonna_rae: This hoe just texted me asking to borrow a roll of tissue until tomorrow 😫😫😭😭😭"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"man"
""
""
""
"-7790343187498138255"
"3K1H3NEY7LTHNJMT0A1MOEWF8XKDGI"
"cons"
"white"
"49.0"
"i ran out 😩 RT @sadonna_rae: This hoe just texted me asking to borrow a roll of tissue until tomorrow 😫😫😭😭😭"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"-5870881806826799680"
"3K1H3NEY7LTHNJMT0A1MOEWF8XKDGI"
"liberal"
"white"
"38.0"
"i ran out 😩 RT @sadonna_rae: This hoe just texted me asking to borrow a roll of tissue until tomorrow 😫😫😭😭😭"
""
""
""
"t/davidson"
""
"0.33"
"1.0"
"sex"
"0.0"
"woman"
"none"
"fucking raw"
""
"-4903257119943710595"
"311HQEI8RSA1XRGOZPMP9T2PXCBZ70"
"liberal"
"white"
"32.0"
"Niggas swear they don't trust these hoes but be fucking raw 😐😂smh"
""
""
""
"t/davidson"
"0.0"
"0.66"
"1.0"
"Sex without protection"
"0.5"
"woman"
"women"
"fucking raw"
""
"7162172225567546910"
"311HQEI8RSA1XRGOZPMP9T2PXCBZ70"
"liberal"
"white"
"27.0"
"Niggas swear they don't trust these hoes but be fucking raw 😐😂smh"
""
""
""
"t/davidson"
""
"0.33"
"1.0"
"unprotected sex"
"0.0"
"man"
""
"fucking raw"
""
"-7353159578349448466"
"311HQEI8RSA1XRGOZPMP9T2PXCBZ70"
"mod-liberal"
"white"
"32.0"
"Niggas swear they don't trust these hoes but be fucking raw 😐😂smh"
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"-8810733183869606469"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"liberal"
"white"
"34.0"
"@YourDudeFerg gay fags"
"lesbian women, gay men, trans women, trans men, bisexual women, bisexual men"
"gender"
"gay folks are "fags""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"-8810733183869606469"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"liberal"
"white"
"34.0"
"@YourDudeFerg gay fags"
"lesbian women, gay men, trans women, trans men, bisexual women, bisexual men"
"gender"
"gay folks are inferior."
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
"0.0"
"-6352039173957003457"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"mod-cons"
"white"
"36.0"
"@YourDudeFerg gay fags"
"gay men"
"gender"
"is promiscuous"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
"0.0"
"-6352039173957003457"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"mod-cons"
"white"
"36.0"
"@YourDudeFerg gay fags"
"gay men"
"gender"
"is a disappointment"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"-7598494085232335834"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"liberal"
"white"
"41.0"
"@YourDudeFerg gay fags"
"lesbian women, gay men, trans women, trans men, bisexual women, bisexual men"
"gender"
"gay people are called fags"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"-7598494085232335834"
"30P8I9JKOIF513XVAZIPQ3BXIVA5VR"
"liberal"
"white"
"41.0"
"@YourDudeFerg gay fags"
"lesbian women, gay men, trans women, trans men, bisexual women, bisexual men"
"gender"
"fags is a bad term"
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"-5471608738051449110"
"3KVQ0UJWPXFIGSX009NLC5UBP4C5W1"
"other"
"white"
"35.0"
"RT @iLikeWGW: retweet for big booty bitches"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
""
"-8810733183869606469"
"3KVQ0UJWPXFIGSX009NLC5UBP4C5W1"
"liberal"
"white"
"34.0"
"RT @iLikeWGW: retweet for big booty bitches"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
"female"
""
""
"5330619308534303933"
"3KVQ0UJWPXFIGSX009NLC5UBP4C5W1"
"mod-cons"
"white"
"35.0"
"RT @iLikeWGW: retweet for big booty bitches"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"-7353159578349448466"
"30EV7DWJTVPIO1SEKTFEP8TRW7MY68"
"mod-liberal"
"white"
"32.0"
"“@TheRealMFast: I hate this shit like why y'all bitches think that's cute? http://t.co/UXSzeXGUjU”<total clothing violation"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"woman"
"female"
""
""
"5330619308534303933"
"30EV7DWJTVPIO1SEKTFEP8TRW7MY68"
"mod-cons"
"white"
"35.0"
"“@TheRealMFast: I hate this shit like why y'all bitches think that's cute? http://t.co/UXSzeXGUjU”<total clothing violation"
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"-5471608738051449110"
"30EV7DWJTVPIO1SEKTFEP8TRW7MY68"
"other"
"white"
"35.0"
"“@TheRealMFast: I hate this shit like why y'all bitches think that's cute? http://t.co/UXSzeXGUjU”<total clothing violation"
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"none"
""
"0.5"
"-3114316428557054065"
"37S0QRNUFBAQD9KK04EIA91G9NA88R"
"mod-cons"
"white"
"33.0"
"bitches dumb"
"women"
"gender"
"women are stupid"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"none"
""
"0.5"
"-3114316428557054065"
"37S0QRNUFBAQD9KK04EIA91G9NA88R"
"mod-cons"
"white"
"33.0"
"bitches dumb"
"women"
"gender"
"women are bitches"
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
"racial minority, gender"
""
""
"4224836053735053558"
"3Q7TKIAPOT4X9B0UB1Y2161N4E6DLO"
"liberal"
"asian"
"25.0"
"Y'all lonely ass bitches sure do give out a lot of relationship advice...."
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"-7353159578349448466"
"3Q7TKIAPOT4X9B0UB1Y2161N4E6DLO"
"mod-liberal"
"white"
"32.0"
"Y'all lonely ass bitches sure do give out a lot of relationship advice...."
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
""
""
""
"7912096326098817047"
"3Q7TKIAPOT4X9B0UB1Y2161N4E6DLO"
"liberal"
"white"
"32.0"
"Y'all lonely ass bitches sure do give out a lot of relationship advice...."
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
"white, male"
""
"0.0"
"1389628790122253253"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"cons"
"white"
"31.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"women, men"
"gender"
"women don't want real men anymore"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
"white, male"
""
"0.0"
"1389628790122253253"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"cons"
"white"
"31.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"women, men"
"gender"
"women want to date weak men"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"man"
""
""
"0.0"
"4554125108380068779"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"mod-liberal"
"white"
"27.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"women"
"gender"
"women date "inferior" men"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"man"
""
""
"0.0"
"4554125108380068779"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"mod-liberal"
"white"
"27.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"women"
"gender"
"women sometimes just referred to as "females""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.5"
"-2877140746380073212"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"cons"
"white"
"42.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"men"
"gender"
"must be masculine"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.5"
"-2877140746380073212"
"3VDI8GSXAFN56OQ2J2Q62MIEX6N8G7"
"cons"
"white"
"42.0"
""@ARIZZLEINDACUT: Females think dating a pussy is cute now? http://t.co/VxBJg26Gsz" how does doing this stuff make him a pussy?"
"men"
"gender"
"should not show weakness"
"t/davidson"
"1.0"
"0.33"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"-7353159578349448466"
"3PCPFX4U40K5YSU3UC1O6S32QX9FQQ"
"mod-liberal"
"white"
"32.0"
"@StephyRae7 hii fag. :)"
"gay men"
"gender"
"gay men should be called fags"
"t/davidson"
"1.0"
"0.33"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"-7353159578349448466"
"3PCPFX4U40K5YSU3UC1O6S32QX9FQQ"
"mod-liberal"
"white"
"32.0"
"@StephyRae7 hii fag. :)"
"gay men"
"gender"
"gay men should be the butt of jokes"
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
""
"3541686222721437796"
"30U1YOGZGAQKDOVKVAV3DSFIW8EDS2"
"liberal"
"white"
"37.0"
"That bitch got 5 million boyfriends"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
""
"6927542478311092738"
"30U1YOGZGAQKDOVKVAV3DSFIW8EDS2"
"liberal"
"white"
"24.0"
"That bitch got 5 million boyfriends"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"female"
""
""
"5330619308534303933"
"30U1YOGZGAQKDOVKVAV3DSFIW8EDS2"
"mod-cons"
"white"
"35.0"
"That bitch got 5 million boyfriends"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
"0.0"
"3401190781414184435"
"3R0WOCG21M30S1NOKFQ3STX6H5ZUDZ"
"mod-liberal"
"white"
"46.0"
"Just straight ignorant bitches #WhereTheyHeadsAt"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
""
"1869048359460155317"
"3R0WOCG21M30S1NOKFQ3STX6H5ZUDZ"
"mod-cons"
"white"
"22.0"
"Just straight ignorant bitches #WhereTheyHeadsAt"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
""
"2430897476320006833"
"3R0WOCG21M30S1NOKFQ3STX6H5ZUDZ"
"cons"
"white"
"32.0"
"Just straight ignorant bitches #WhereTheyHeadsAt"
""
""
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"disabled, bisexual"
""
"0.0"
"5225876289250202382"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"liberal"
"white"
"32.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"latinx people are worthless."
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"disabled, bisexual"
""
"0.0"
"5225876289250202382"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"liberal"
"white"
"32.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"latinx people don't deserve to live here."
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"disabled, bisexual"
""
"0.0"
"5225876289250202382"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"liberal"
"white"
"32.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"latinx people are savages."
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"Hispanic, female, bisexual"
""
"0.0"
"-1074131302321565002"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"mod-liberal"
"hisp"
"29.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"doesnt deserve to live in the us"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
"Hispanic, female, bisexual"
""
"0.0"
"-1074131302321565002"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"mod-liberal"
"hisp"
"29.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"dirty"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"7891575995618716029"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"mod-liberal"
"white"
"40.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"latino people are savages"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"7891575995618716029"
"32K26U12DNI05GCOP508OFZPVC8DV7"
"mod-liberal"
"white"
"40.0"
"Why do so many filthy wetback half-breed spic savages live in #LosAngeles? None of them have any right at all to be here."
"latino/latina folks"
"race"
"latino people don't belong in the us"
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"-5471608738051449110"
"34KYK9TV2R2RYRX0HE4XI2RITN2SBA"
"other"
"white"
"35.0"
"It's scheduled up already, tho #bitches> #BryanCranston> One tweet and he's got #JoePesci out there making fun of #stolenbases> #BASEBALL"
""
""
""
"t/davidson"
"0.0"
"0.33"
"0.0"
""
"0.5"
"man"
""
""
""
"7891575995618716029"
"34KYK9TV2R2RYRX0HE4XI2RITN2SBA"
"mod-liberal"
"white"
"40.0"
"It's scheduled up already, tho #bitches> #BryanCranston> One tweet and he's got #JoePesci out there making fun of #stolenbases> #BASEBALL"
""
""
""
"t/davidson"
""
"0.33"
"0.0"
""
"0.0"
"man"
"white, male"
""
""
"1389628790122253253"
"34KYK9TV2R2RYRX0HE4XI2RITN2SBA"
"cons"
"white"
"31.0"
"It's scheduled up already, tho #bitches> #BryanCranston> One tweet and he's got #JoePesci out there making fun of #stolenbases> #BASEBALL"
""
""
""
"t/davidson"
"1.0"
"0.33"
"0.0"
""
"0.0"
"woman"
""
""
""
"-4671295340405687436"
"3Q9SPIIRWJGFMY9HV5E2KGAXHIDAWC"
"other"
"white"
"31.0"
"Knowing what you want doesn't make you a bitch. It makes you a woman who won't settle for anything less than what she deserves."
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"-7452610791699819066"
"3Q9SPIIRWJGFMY9HV5E2KGAXHIDAWC"
"liberal"
"asian"
"23.0"
"Knowing what you want doesn't make you a bitch. It makes you a woman who won't settle for anything less than what she deserves."
""
""
""
"t/davidson"
"0.0"
"0.33"
"0.0"
""
"1.0"
"man"
""
""
""
"1558992385113521549"
"3Q9SPIIRWJGFMY9HV5E2KGAXHIDAWC"
"libert"
"white"
"39.0"
"Knowing what you want doesn't make you a bitch. It makes you a woman who won't settle for anything less than what she deserves."
""
""
""
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
"0.0"
"-8935932304856669427"
"306W7JMRYYS9F7IR3GYS1BRHHTVB8T"
"liberal"
"white"
"45.0"
"If a bitch is bad n single she single fo a reason....hoe prolly cray or a runna"
"women"
"gender"
"single women are crazy"
"t/davidson"
"1.0"
"0.66"
"0.0"
""
"0.5"
"woman"
""
""
"0.0"
"-8935932304856669427"
"306W7JMRYYS9F7IR3GYS1BRHHTVB8T"
"liberal"
"white"
"45.0"
"If a bitch is bad n single she single fo a reason....hoe prolly cray or a runna"
"women"
"gender"
"single women are runners"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"3541686222721437796"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"liberal"
"white"
"37.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
"are niggers"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"3541686222721437796"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"liberal"
"white"
"37.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
"are subhuman"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"2428559182657536645"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"liberal"
"white"
"29.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
"racial slur"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
"0.0"
"2428559182657536645"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"liberal"
"white"
"29.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
""
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"3014462452121555470"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"mod-liberal"
"white"
"38.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
"blacks are worthless"
"t/davidson"
"1.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
"0.0"
"3014462452121555470"
"37SDSEDIN9W8290Z1J53VZE8VH4180"
"mod-liberal"
"white"
"38.0"
"RT @UNCLERUCKUS_BD: Being a nigger isn't a color it's a state of mind"
"black folks"
"race"
"blacks are criminals"
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"woman"
""
""
""
"955703508749055793"
"3VDVA3ILID9NVO6HKHHRNCV6J0H1GG"
"liberal"
"asian"
"23.0"
"We live ina generation where we praise these hoes."
""
""
""
"t/davidson"
""
"0.33"
"0.0"
""
"0.0"
"woman"
"female"
""
""
"5330619308534303933"
"3VDVA3ILID9NVO6HKHHRNCV6J0H1GG"
"mod-cons"
"white"
"35.0"
"We live ina generation where we praise these hoes."
""
""
""
"t/davidson"
""
"0.0"
"0.0"
""
"0.0"
"man"
""
""
""
"3541686222721437796"
"3VDVA3ILID9NVO6HKHHRNCV6J0H1GG"
"liberal"
"white"
"37.0"
"We live ina generation where we praise these hoes."
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"0.5"
"man"
""
""
""
"-7790343187498138255"
"3AQN9REUTFAH9A7TUGNSVE3JDTADYG"
"cons"
"white"
"49.0"
"Let a bitch be a bitch n a hoe be a hoe!"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
""
"-5471608738051449110"
"3AQN9REUTFAH9A7TUGNSVE3JDTADYG"
"other"
"white"
"35.0"
"Let a bitch be a bitch n a hoe be a hoe!"
""
""
""
"t/davidson"
"0.0"
"0.33"
"0.0"
""
"1.0"
"man"
""
""
""
"1558992385113521549"
"3AQN9REUTFAH9A7TUGNSVE3JDTADYG"
"libert"
"white"
"39.0"
"Let a bitch be a bitch n a hoe be a hoe!"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"woman"
""
""
""
"7912096326098817047"
"3OB6JN3A9QJBG31KTEU168XGJKNMR5"
"liberal"
"white"
"32.0"
"RT @AaronTheGoat: This bitch can't be serious... http://t.co/dVZegKeBGv"
""
""
""
"t/davidson"
"0.0"
"0.66"
"0.0"
""
"1.0"
"woman"
""
""
""
"8789702980570783632"
"3OB6JN3A9QJBG31KTEU168XGJKNMR5"
"other"
"hisp"
"27.0"
"RT @AaronTheGoat: This bitch can't be serious... http://t.co/dVZegKeBGv"
""
""
""
"t/davidson"
"0.0"
"0.33"
"0.0"
""
"0.5"
"woman"
""
""
""
"3169503690680674782"
"3OB6JN3A9QJBG31KTEU168XGJKNMR5"
"liberal"
"white"
"29.0"
"RT @AaronTheGoat: This bitch can't be serious... http://t.co/dVZegKeBGv"
""
""
""
"t/davidson"
"0.0"
"1.0"
"0.0"
""
"1.0"
"man"
""
""
""
"-2877140746380073212"
"3UEBBGULPFIXQL1KBLLTGT0RTIFUFA"
"cons"
"white"
"42.0"
"Awwwwww they no Kaep ain't rape no bitch!!!!"
""
""
""
"t/davidson"
End of preview (truncated to 100 rows)

Dataset Card for "social_bias_frames"

Dataset Summary

Warning: this document and dataset contain content that may be offensive or upsetting.

Social Bias Frames is a new way of representing the biases and offensiveness that are implied in language. For example, these frames are meant to distill the implication that "women (candidates) are less qualified" behind the statement "we shouldn’t lower our standards to hire more women." The Social Bias Inference Corpus (SBIC) supports large-scale learning and evaluation of social implications with over 150k structured annotations of social media posts, spanning over 34k implications about a thousand demographic groups.

Supported Tasks and Leaderboards

This dataset supports both classification and generation. Sap et al. developed several models using the SBIC. They report an F1 score of 78.8 in predicting whether the posts in the test set were offensive, an F1 score of 78.6 in predicting whether the posts were intending to be offensive, an F1 score of 80.7 in predicting whether the posts were lewd, and an F1 score of 69.9 in predicting whether the posts were targeting a specific group.

Another of Sap et al.’s models performed better in the generation task. They report a BLUE score of 77.9, a Rouge-L score of 68.7, and a WMD score of 0.74 in generating a description of the targeted group given a post as well as a BLUE score of 52.6, a Rouge-L score of 44.9, and a WMD score of 2.79 in generating a description of the implied offensive statement given a post. See the paper for further details.

Languages

The language in SBIC is predominantly white-aligned English (78%, using a lexical dialect detector, Blodgett et al., 2016). The curators find less than 10% of posts in SBIC are detected to have the AAE dialect category. The BCP-47 language tag is, presumably, en-US.

Dataset Structure

Data Instances

Each instance contains a post that may contain an offensive statement and annotated information concerning the nature of the offensive implication as well as the demographics of the annotator and origin of the post. See the Social Bias Frames dataset viewer to explore more examples.

default

  • Size of downloaded dataset files: 6.03 MB
  • Size of the generated dataset: 42.41 MB
  • Total amount of disk used: 48.45 MB

An example of 'validation' looks as follows.

{
    "HITId": "3Z8UJEJOCZ74QHXOTFP0JOOGD7039J",
    "WorkerId": "7162172225567546910",
    "annotatorAge": "27.0",
    "annotatorGender": "woman",
    "annotatorMinority": "women",
    "annotatorPolitics": "liberal",
    "annotatorRace": "white",
    "dataSource": "t/davidson",
    "intentYN": "1.0",
    "offensiveYN": "1.0",
    "post": "Every half-breed cop in America is trying to rape white women.",
    "sexPhrase": "rape white women",
    "sexReason": "rape",
    "sexYN": "1.0",
    "speakerMinorityYN": "0.0",
    "targetCategory": "race",
    "targetMinority": "mixed folks",
    "targetStereotype": "mixed folks are rapists.",
    "whoTarget": "1.0"
}

Data Fields

The data fields are the same among all splits.

default

  • whoTarget: a string, ‘0.0’ if the target is a group, ‘1.0’ if the target is an individual, and blank if the post is not offensive
  • intentYN: a string indicating if the intent behind the statement was to offend. This is a categorical variable with four possible answers, ‘1.0’ if yes, ‘0.66’ if probably, ‘0.33’ if probably not, and ‘0.0’ if no.
  • sexYN: a string indicating whether the post contains a sexual or lewd reference. This is a categorical variable with three possible answers, ‘1.0’ if yes, ‘0.5’ if maybe, ‘0.0’ if no.
  • sexReason: a string containing a free text explanation of what is sexual if indicated so, blank otherwise
  • offensiveYN: a string indicating if the post could be offensive to anyone. This is a categorical variable with three possible answers, ‘1.0’ if yes, ‘0.5’ if maybe, ‘0.0’ if no.
  • annotatorGender: a string indicating the gender of the MTurk worker
  • annotatorMinority: a string indicating whether the MTurk worker identifies as a minority
  • sexPhrase: a string indicating which part of the post references something sexual, blank otherwise
  • speakerMinorityYN: a string indicating whether the speaker was part of the same minority group that's being targeted. This is a categorical variable with three possible answers, ‘1.0’ if yes, ‘0.5’ if maybe, ‘0.0’ if no.
  • WorkerId: a string hashed version of the MTurk workerId
  • HITId: a string id that uniquely identifies each post
  • annotatorPolitics: a string indicating the political leaning of the MTurk worker
  • annotatorRace: a string indicating the race of the MTurk worker
  • annotatorAge: a string indicating the age of the MTurk worker
  • post: a string containing the text of the post that was annotated
  • targetMinority: a string indicating the demographic group targeted
  • targetCategory: a string indicating the high-level category of the demographic group(s) targeted
  • targetStereotype: a string containing the implied statement
  • dataSource: a string indicating the source of the post (t/...: means Twitter, r/...: means a subreddit)

Data Splits

To ensure that no post appeared in multiple splits, the curators defined a training instance as the post and its three sets of annotations. They then split the dataset into train, validation, and test sets (75%/12.5%/12.5%).

name train validation test
default 112900 16738 17501

Dataset Creation

Curation Rationale

The main aim for this dataset is to cover a wide variety of social biases that are implied in text, both subtle and overt, and make the biases representative of real world discrimination that people experience RWJF 2017. The curators also included some innocuous statements, to balance out biases, offensive, or harmful content.

Source Data

The curators included online posts from the following sources sometime between 2014-2019:

Initial Data Collection and Normalization

The curators wanted posts to be as self-contained as possible, therefore, they applied some filtering to prevent posts from being highly context-dependent. For Twitter data, they filtered out @-replies, retweets, and links, and subsample posts such that there is a smaller correlation between AAE and offensiveness (to avoid racial bias; Sap et al., 2019). For Reddit, Gab, and Stormfront, they only selected posts that were one sentence long, don't contain links, and are between 10 and 80 words. Furthemore, for Reddit, they automatically removed posts that target automated moderation.

Who are the source language producers?

Due to the nature of this corpus, there is no way to know who the speakers are. But, the speakers of the Reddit, Gab, and Stormfront posts are likely white men (see Gender by subreddit, Gab users, Stormfront description).

Annotations

Annotation process

For each post, Amazon Mechanical Turk workers indicate whether the post is offensive, whether the intent was to offend, and whether it contains lewd or sexual content. Only if annotators indicate potential offensiveness do they answer the group implication question. If the post targets or references a group or demographic, workers select or write which one(s); per selected group, they then write two to four stereotypes. Finally, workers are asked whether they think the speaker is part of one of the minority groups referenced by the post. The curators collected three annotations per post, and restricted the worker pool to the U.S. and Canada. The annotations in SBIC showed 82.4% pairwise agreement and Krippendorf’s α=0.45 on average.

Recent work has highlighted various negative side effects caused by annotating potentially abusive or harmful content (e.g., acute stress; Roberts, 2016). The curators mitigated these by limiting the number of posts that one worker could annotate in one day, paying workers above minimum wage ($7–12), and providing crisis management resources to the annotators.

Who are the annotators?

The annotators are Amazon Mechanical Turk workers aged 36±10 years old. The annotators consisted of 55% women, 42% men, and <1% non-binary and 82% identified as White, 4% Asian, 4% Hispanic, 4% Black. Information on their first language(s) and professional backgrounds was not collected.

Personal and Sensitive Information

Usernames are not included with the data, but the site where the post was collected is, so the user could potentially be recovered.

Considerations for Using the Data

Social Impact of Dataset

The curators recognize that studying Social Bias Frames necessarily requires confronting online content that may be offensive or disturbing but argue that deliberate avoidance does not eliminate such problems. By assessing social media content through the lens of Social Bias Frames, automatic flagging or AI-augmented writing interfaces may be analyzed for potentially harmful online content with detailed explanations for users or moderators to consider and verify. In addition, the collective analysis over large corpora can also be insightful for educating people on reducing unconscious biases in their language by encouraging empathy towards a targeted group.

Discussion of Biases

Because this is a corpus of social biases, a lot of posts contain implied or overt biases against the following groups (in decreasing order of prevalence):

  • gender/sexuality
  • race/ethnicity
  • religion/culture
  • social/political
  • disability body/age
  • victims

The curators warn that technology trained on this dataset could have side effects such as censorship and dialect-based racial bias.

Other Known Limitations

Because the curators found that the dataset is predominantly written in White-aligned English, they caution researchers to consider the potential for dialect or identity-based biases in labelling (Davidson et al.,2019; Sap et al., 2019a) before deploying technology based on SBIC.

Additional Information

Dataset Curators

This dataset was developed by Maarten Sap of the Paul G. Allen School of Computer Science & Engineering at the University of Washington, Saadia Gabriel, Lianhui Qin, Noah A Smith, and Yejin Choi of the Paul G. Allen School of Computer Science & Engineering and the Allen Institute for Artificial Intelligence, and Dan Jurafsky of the Linguistics & Computer Science Departments of Stanford University.

Licensing Information

The SBIC is licensed under the Creative Commons 4.0 License

Citation Information

@inproceedings{sap-etal-2020-social,
    title = "Social Bias Frames: Reasoning about Social and Power Implications of Language",
    author = "Sap, Maarten  and
      Gabriel, Saadia  and
      Qin, Lianhui  and
      Jurafsky, Dan  and
      Smith, Noah A.  and
      Choi, Yejin",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-main.486",
    doi = "10.18653/v1/2020.acl-main.486",
    pages = "5477--5490",
    abstract = "Warning: this paper contains content that may be offensive or upsetting. Language has the power to reinforce stereotypes and project social biases onto others. At the core of the challenge is that it is rarely what is stated explicitly, but rather the implied meanings, that frame people{'}s judgments about others. For example, given a statement that {``}we shouldn{'}t lower our standards to hire more women,{''} most listeners will infer the implicature intended by the speaker - that {``}women (candidates) are less qualified.{''} Most semantic formalisms, to date, do not capture such pragmatic implications in which people express social biases and power differentials in language. We introduce Social Bias Frames, a new conceptual formalism that aims to model the pragmatic frames in which people project social biases and stereotypes onto others. In addition, we introduce the Social Bias Inference Corpus to support large-scale modelling and evaluation with 150k structured annotations of social media posts, covering over 34k implications about a thousand demographic groups. We then establish baseline approaches that learn to recover Social Bias Frames from unstructured text. We find that while state-of-the-art neural models are effective at high-level categorization of whether a given statement projects unwanted social bias (80{\%} F1), they are not effective at spelling out more detailed explanations in terms of Social Bias Frames. Our study motivates future work that combines structured pragmatic inference with commonsense reasoning on social implications.",
}

Contributions

Thanks to @thomwolf, @lewtun, @otakumesi, @mariamabarham, @lhoestq for adding this dataset.

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