
Homonationalism is the selective acceptance of LGBTQ+ people in order to promote a nationalist ideology. It describes a phenomenon in which some nations strategically show increased support for LGBTQ+ rights as a means of reinforcing racial, religious, and cultural hierarchies. The term explains how discourses of sexual inclusion and LGBTQ+ acceptance, particularly in Western contexts, are used to justify xenophobic, Islamophobic, or racist policies, often by portraying marginalized communities as inherently homophobic and Western nations as sexually progressive.thumb|Demonstration against hom
Homonationalism is the selective acceptance of LGBTQ+ people in order to promote a nationalist ideology. It describes a phenomenon in which some nations strategically show increased support for LGBTQ+ rights as a means of reinforcing racial, religious, and cultural hierarchies. The term explains how discourses of sexual inclusion and LGBTQ+ acceptance, particularly in Western contexts, are used to justify xenophobic, Islamophobic, or racist policies, often by portraying marginalized communities as inherently homophobic and Western nations as sexually progressive.thumb|Demonstration against homonationalism during Labour Day 2012 in France by
== Theoretical context and development == The term "homonationalism" was coined by gender studies scholar Jasbir K. Puar in her 2007 book Terrorist Assemblages: Homonationalism in Queer Times. The term refers to how, in the context of Western modernity, liberal power structures co-opt certain LGBTQ+ rights discourses — typically centered on white, cisgender, citizen-identifying queer subjects — to construct a national identity that is portrayed as progressive and tolerant, while simultaneously justifying racist, xenophobic and aporophobic policies, particularly against Muslim communities. As a result, sexual diversity and LGBTQ+ rights are sometimes used to support political positions opposing immigration, a strategy that has become increasingly common among far-right parties.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).