BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN NAME:ABRI Lunch Seminar Neva Bojovic METHOD:PUBLISH BEGIN:VEVENT DTSTART:20261013T120000 DTEND:20261013T130000 DTSTAMP:20261013T120000 UID:abri-lunch-seminar-neva-bojovi@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260924T143359 LOCATION:VU Main Building, 1105, De Boelelaan, 1081 HV, Amsterdam SUMMARY:ABRI Lunch Seminar Neva Bojovic X-ALT-DESC;FMTTYPE=text/html:

We are happy to invi te you to the ABRI Lunch Seminar Algorithmic Stigmatization: How Plat form Governance Systems Silence Women’s Voices by Dr. Neva Bojovic (KEDGE Business School, Bordeaux) organized by ABRI and the KIN Cente r for Digital Innovation.

The seminar will take place on T uesday, October 13th, from 12:00 to 13:00 (HG-07A37).

This i s a lunch seminar; please register your attendance by accepting/decli ning your emailed invitation  by Friday, October 9th, at 10 AM a t the latest (for catering).

We are looking forward to seein g you there! 

Abstract
Digital platfor ms have become essential infrastructure for entrepreneurs, profession als, and organizations. Yet growing evidence suggests that platform c ontent governance systems systematically suppress women’s health co ntent, professional voices, and bodily imagery through automated clas sification. We theorize this phenomenon as algorithmic stigmatization , i.e., the process through which platform systems impose discreditin g labels on organizations, their content, or their founders, producin g visibility loss, resource deprivation, and market exclusion, withou t identifiable decision-makers, transparent criteria, or accessible a ppeals mechanisms. Drawing on in-depth interviews with women entrepre neurs, content creators, and activists affected by algorithmic suppre ssion, besides media and secondary data, we develop a process model t hat distinguishes algorithmic stigmatization from social stigmatizati on theorized in prior work. We identify key mechanisms including deni al architecture, temporal asymmetry, the compliance paradox (where bo th self-censorship and principled refusal reproduce system power), an d the situation of platform-dependent resistance. Our framework exten ds stigma theory by revealing how invisible, automated, and inescapab le stigmatizers create conditions under which established anti-stigma tization and counter-stigmatization strategies become insufficient. W e contribute to organization theory and digital governance scholarshi p by bridging conversations on platform power, algorithmic bias, and collective action under opacity.
 

DESCRIPTION: We are happy to invite you to the ABRI Lunch Seminar Algo rithmic Stigmatization: How Platform Governance Systems Silence Women ’s Voices by Dr. Neva Bojovic (KEDGE Business School, Bordeaux) org anized by ABRI and the KIN Center for Digital Innovation. The seminar will take place on Tuesday, October 13th, from 12:00 to 13:00 (HG-07 A37).

This is a lunch seminar; please register your attendan ce by accepting/declining your emailed invitation  by Friday, Oc tober 9th, at 10 AM at the latest (for catering).

We are loo king forward to seeing you there! Abstract
D igital platforms have become essential infrastructure for entrepreneu rs, professionals, and organizations. Yet growing evidence suggests t hat platform content governance systems systematically suppress women ’s health content, professional voices, and bodily imagery through automated classification. We theorize this phenomenon as algorithmic stigmatization, i.e., the process through which platform systems impo se discrediting labels on organizations, their content, or their foun ders, producing visibility loss, resource deprivation, and market exc lusion, without identifiable decision-makers, transparent criteria, o r accessible appeals mechanisms. Drawing on in-depth interviews with women entrepreneurs, content creators, and activists affected by algo rithmic suppression, besides media and secondary data, we develop a p rocess model that distinguishes algorithmic stigmatization from socia l stigmatization theorized in prior work. We identify key mechanisms including denial architecture, temporal asymmetry, the compliance par adox (where both self-censorship and principled refusal reproduce sys tem power), and the situation of platform-dependent resistance. Our f ramework extends stigma theory by revealing how invisible, automated, and inescapable stigmatizers create conditions under which establish ed anti-stigmatization and counter-stigmatization strategies become i nsufficient. We contribute to organization theory and digital governa nce scholarship by bridging conversations on platform power, algorith mic bias, and collective action under opacity.
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