#TransLivesMatter, #BlackLivesMatter and Feminism
I’ve seen some internet dustups over the use of the #translivesmatter hashtag over the past few months. A subreddit asks if it’s okay to use the tag and produces discourse typical of what I’ve observed. Today, I witnessed a rancorous debate on a google group about this issue. Here are some facts about phrasing something as XYZ lives matter: Using twitter’s advanced search, #translivesmatter (12/2011) predates #blacklivesmatter (4/2012). Back in 2012, there were just 3 tweets with #blacklivesmatter and just 3 tweets with #translivesmatter. It’s worth noting that Planned Parenthood was using #womenslivesmatter back in 5/2011 – predating both #translivesmatter and #blacklivesmatter – which makes sense because feminists were phrasing that their lives mattered for a while.
The Source Summary reproduces the first 150 words of the source article unless a Collective editor has explicitly locked a replacement.
Why this article may matter
Community significance
“#TransLivesMatter, #BlackLivesMatter and Feminism” may matter to community readers because it preserves a first-person or testimonial account connected to feminism and gender politics, while also engaging media, rhetoric, and discourse. Such accounts can document how an issue was understood and experienced from within the period or community being discussed.
Historical significance
As a publication record from 2015 at Cristan’s Research, “#TransLivesMatter, #BlackLivesMatter and Feminism” provides dated evidence of how feminism and gender politics was being argued in relation to media, rhetoric, and discourse. Comparing it with earlier and later records can reveal changes in vocabulary, evidence, and emphasis.
Policy significance
No dominant policy frame was detected in “#TransLivesMatter, #BlackLivesMatter and Feminism.” Its policy relevance, when present, is therefore likely indirect: the article’s treatment of feminism and gender politics may shape later arguments about institutions or public practice rather than proposing a specific rule.
Ranked themes and framings
Rank 1 is the dominant inferred theme or framing. Parent labels identify broader theme families; the relationship diagram distinguishes sub-themes, siblings, overlap, and separate-but-related themes.
Themes
- 1Feminism and gender politicsTheme family: Power, ideology, and social conflict100%
- 2Media, rhetoric, and discourseTheme family: Knowledge, history, and communication80%
- 3Technology, data, and platformsTheme family: Knowledge, history, and communication53%
Academic framing
- 1100%
Editorial function
Source topics
These classifications are inferred from article text and source metadata and remain directly editable. Relationship labels express corpus-analysis judgments, not immutable facts.
How “Feminism and gender politics” appears across the Collective corpus
This article appeared 2 year(s) after the theme’s highest annual presence in the registered corpus in 2013.
Relative presence by year
Peak year indexed to 100Presence by member publication
Frequently co-occurring concepts
- Transgender identity and history186
- Community and organizing161
- Violence, safety, and dehumanization112
- Media, rhetoric, and discourse76
- Law and civil rights69
- Culture, identity, and representation68
- Education and youth52
- Healthcare and medicine48
- History, archives, and memory42
- Science, evidence, and expertise33
Academic framings in this topic
Values measure relative presence in the registered Collective corpus, not public search interest or public opinion.
Sources that reference this article
No individual inbound sources have been stored yet. Counts can still appear when a scholarly index supplies aggregate citation metadata.
Coverage combines internal Collective links, verified Webmentions, curated evidence, supported scholarly indexes, and optional public-web discovery. Search-result candidates remain visibly distinct from directly verified links and provider-confirmed citations. This is not an exhaustive index of the public web or of Google Scholar.
Author profiles and related researchers
Related authors in the Collective corpus
Related authors are calculated from co-authorship, shared themes and framings, and citation relationships in the registered corpus. This does not imply a personal or institutional association.
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