Meme Culture and “Borderer-Right” Style: A Research Report

Executive Summary: Internet meme culture is characterized by irreverence, mockery, and transgressive humor – traits that closely align with what we define as a “borderer-right” style (anti‐elite, honor/taunt culture, low deference, performative aggression, status inversion). This report reviews academic and journalistic research on political memes, analyzes meme features across platforms, and maps them to borderer-right traits. We find that memes often employ: concise, shocking humor; ridicule of elites and “establishment”; in-group bonding through shared symbols; and “digital carnivalesque” (festive mockery of the serious)\[1\]\[2\]. These stylistic features amplify contempt for authority and a celebratory aggression that fuels polarization. Empirical studies show far-right groups exploit memes’ humor to mainstream extremist ideas (masking ideology with jokes)\[3\]\[2\], but left and centrist activists also use meme forms (often with different targets or tones)\[4\]\[5\]. We review methods (corpus analysis, content coding, network/virality metrics, discourse analysis) and provide examples linking specific meme features to borderer traits. Platform differences are highlighted (4chan anonymity vs. Twitter’s brevity vs. TikTok video dynamics) in a comparative table. Historical context (from early internet memes to TikTok era) is sketched via a timeline. Finally, we discuss implications (emotional persuasion, echo chambers, trust erosion) and recommend further research, platform strategies, and civic education. Throughout, we cite primary research on meme politics\[6\]\[7\] and note when assumptions (e.g. corpus size) are made.

1. Defining “Borderer-Right” Style Link to heading

We interpret “borderer-right” as a shorthand for an emotional/grand cultural style often found in right-wing or “reactionary” subcultures. Key traits include: - Anti-elite stance: Open contempt or ridicule of political, cultural, or intellectual elites. - Honor/taunt culture: Communication as challenge and one-upmanship, treating language as combat (insults, bragging). - Low deference: Dismissal of authority, tradition, and decorum. Institutions and experts are targets of mockery. - Performative aggression: Boasting bravado, using offensive or taboo humor for effect. Confrontation is seen as strength. - Status inversion: Elevating underdogs or internet subcultures as heroes; belittling high-status figures.

This style contrasts with “civilized” or managerial discourse. As one researcher notes, online meme humor often “mocks the sincere, trivializes the serious, disrupts the static, and adds layers of irony to online interactions.” It is a digital “carnivalesque” worldview that inverts social hierarchies\[1\]. We will analyze how meme culture’s features embody these borderer-right sensibilities.

2. Operationalizing Meme Features Link to heading

Meme Definitions: Internet memes are multimodal (image + text or video) units of culture that spread by copying/remixing across social media\[8\]. Common formats include image macros (picture with caption), short videos (TikTok clips), GIFs, and simple text images. They are often crudely produced (“poor technical merit”\[1\]) and ephemeral.

We break down meme features into:

• Tone/Humor Type:

• Satire/Irony: Indirect ridicule (e.g. SpongeBob ironic memes).

• Insult/Parody: Explicit mockery of targets (e.g. calling a politician “clown”).

• Dark/Offensive Humor: Shocking, taboo themes (racist/sexist slurs, gore, black humor).

• Self-Deprecation/Meta-humor: Less common in borderer memes, but some memes mock their own style.

• Targets/Subjects: Common targets are politicians, journalists, activists (especially left-wing or elites), and cultural outgroups. Memes often “mock the ‘other’ (establishment, progressives, minorities)” to build in-group cohesion\[9\]. For example, far-right memes ridicule liberals or immigrants with exaggerated stereotypes. But left-leaning memes mock corporations or politicians too, albeit differently (see Section 6).

• Format/Modalities:

• Static images with Impact font captions (image macros).

• Viral videos and remixes (TikTok dances/skits).

• Text memes (tweets with punchlines, dark quotes).

• Multi-image collages or comic panels.

• Platforms afford variations: Twitter favors quick text+image jokes; TikTok favors sound-based video memes; 4chan permits green text stories.

• Platform Affordances:

• Anonymity vs Real IDs: 4chan/pol are fully anonymous and unmoderated (fostering extremity), Reddit is pseudonymous with subcommunities, Twitter requires accounts (semi-public persona), TikTok/Instagram emphasize follower networks and trending algorithms.

• Virality mechanics: Memes spread via retweets, shares, reposts, and algorithmic boosts. On Twitter, the “retweet” or “hashtag trend” drives reach; on TikTok, the “For You” page can catapult obscure users; on Reddit, upvotes determine visibility (see Table 1 below).

• Collective Production: Memes evolve by remix; the same “template” is reused with different text across contexts. Audiences know many templates and catchphrases, forming closed “meme communities”\[10\]. This in-group coding can disguise meaning from outsiders.

We will see how each of these features tends to line up with borderer traits.

3. Empirical Evidence and Case Studies Link to heading

3.1 Far-Right Meme Studies Link to heading

Researchers have extensively documented how far-right activists harness meme culture. Key findings include:

• Humor as Trojan Horse: Far-right groups use humorous memes to “soften their ideological content” and make extreme ideas more palatable\[2\]. Schmid et al. (2024) found in a study of German far-right Telegram that memes containing both extremist narratives and humor had much higher reach than those without humor\[3\]. In short, “memes combining humor with ideological framing” spread more broadly\[3\]\[2\]. The joking tone acts as a shield: if accused of bigotry, meme-makers shrug “it’s just a joke” (Perez 2022)\[2\].

• Polarizing and Mobilizing Affects: Humor in far-right memes tends to “polarize and mobilize affects through humor and repetition” rather than foster deliberation\[11\]. They mock opponents (progressives, minorities) to create group cohesion and “collective pleasure” in shared contempt\[11\]. This aligns with borderer honor-culture: enemies are taunted publicly, raising the morale of the in-group.

• Narrative and Aesthetic Asymmetry: Fernandez Salguero (2025 preprint) argues that right-wing movements use “memes” strategically to mobilize grievances (humor and resentment), whereas left-wing movements rely more on creative protest art (songs, murals) to build solidarity\[12\]. This aesthetic asymmetry suggests memes fit the right’s goal of provoking emotions quickly, not elaborate cultural narratives.

• Values Encoding: Trillò & Shifman (2021) studied Italian far-right meme “commemorations” and found they interweave collectivist nationalist values (patriotism, tradition) with meme-culture values (authenticity, creativity)\[13\]\[14\]. Far-right politics (authority, hierarchy) contrasts with memes’ ethos (freedom of expression, communal inside jokes). Interestingly, their far-right meme corpus showed both: appeals to tradition and to self-direction/authenticity\[13\]\[14\]. The result is a hybrid discourse: reverent about heroes/tradition (status inversion by elevating in-group) but also playful and “authentic” in a meme sense.

• Limited to Niche Spaces: Not all studies found global dominance of memes in far-right media. McSwiney et al. (2021) surveyed 25 far-right media organizations (Australia, Italy, Germany, US) and unexpectedly found memes play a limited role, often confined to English-speaking alt-media\[15\]. They caution against assuming memes are globally central to far-right identity. Still, where they do occur, patterns emerge: they revolve around fascist imagery, western identity, and pop culture (three discourses)\[16\], with humor lowering barriers to extreme ideologies\[2\].

These studies consistently report: memes allow disrespect to flourish. They enable attackers to sneer at authority and lampoon opponents with impunity\[11\]\[2\]. The anonymity and virality of meme forums make them potent echo chambers for borderer aggression.

3.2 Left and Center Usage Link to heading

While the far right’s memetic strategy has drawn much attention, the left has increasingly embraced memes too (often satirically or subversively). Examples and observations:

• Evolution since 2016: In 2016, right-wing memes dominated online politics, leading to the taunt “the left can’t meme”\[17\]. But post-2016, leftist meme communities grew rapidly. Wired (2019) reports a surge of “left-wing meme-makers” reclaiming meme culture\[18\]. Progressive politicians (e.g. AOC) and activists now routinely use meme formats to communicate. For instance, Rep. Alexandria Ocasio-Cortez responded to a Chase Bank meme with her own economic critique, using the same form\[19\].

• Left Memes Features: Fabio Braun Carrasco (2024) describes “left memes” as humorous yet also embedding hope, despair, and criticism about capitalism and social justice\[20\]. They often parody existing formats to “summarize complex topics” in a few images\[21\]. Left memes are more likely to be explicitly ideological (e.g. invoking Lenin’s slogans as memes)\[22\]. However, many adopt standard meme templates and even reproduce their gender or cultural stereotypes (e.g. “suspicious girlfriend” meme repurposed for anti-colonial commentary\[23\]).

• Community-building: Leftist organizers see memes as movement-building. Matt Zarb-Cousin (ex-Corbyn spokesman) notes that when a political group gains critical mass, their ability to create viral memes rises, thus entering mainstream discourse\[24\]. The “Centrist Dad” meme from Left Twitter is cited as a viral example that even BBC covered\[24\].

• Differences in Style: In general, left memes tend to attack corporations, plutocrats, and right-wing hypocrisy, often invoking empathy or solidarity (e.g. poverty memes). Their humor can be biting but is framed as collective struggle (“meme as slogan”), not honor confrontation. Nonetheless, they share internet-style irreverence and self-satire.

• Echo Chambers: Just as with right-wing memes, left-leaning memes circulate mainly within ideological silos\[5\]. Alafnan (2025) finds memes “predominantly circulate within political echo chambers, fostering engagement within homogenous groups while limiting exposure to opposing views”\[5\]. Thus, both left and right primarily preach to the choir, though their rhetorical targets differ.

In summary, all sides use the same memetic “playbook”, but the borderer-right style is most naturally aligned with right-wing subculture. Left memes adopt the form but often with more explicit political messaging or hopeful tones\[20\]. Table 2 (below) sketches some contrasts.

3.3 Platform Studies & Metrics Link to heading

Different platforms shape meme style and spread:

• Platform Comparisons: Rogers (2021) analyzed top content on TikTok, 4chan, Reddit, Twitter, Facebook, Instagram, Google. Key findings:

• TikTok: Memes often parody mainstream media (e.g. satirical news clips)\[7\]. Youthful platforms allow sarcastic delivery, making intent ambiguous\[25\].

• 4chan/Reddit: Users dismiss mainstream sources and link to alternative influencer or extremist content\[7\]. These anonymized boards rarely cite mainstream media; instead, they circulate conspiracy videos (YouTube alt-network)\[7\]\[25\].

• Twitter/X: Favors hyperpartisan content over mainstream reporting\[26\].

• Facebook: Seeing a decline in mainstream media references; “fake news” clusters.

• Instagram: Engagement is driven by influencers, who may remix memes for brand or activism.

• Google Search: Tends to promote liberal mainstream sources overall, but also gives niche “special interest” content prominence\[26\].

• Virality Metrics: Quantitative studies measure how memes spread:

• Lokmanoglu et al. (2023) developed image-clustering and network analysis to classify memes by theme (gender, race, partisanship, violence) on a fringe platform. They found no direct link between the volume of memes on a topic and engagement\[27\]. Instead, intersectional themes (race+gender+partisanship) had highest diffusion\[27\], and spikes in violent memes correlated with political events (mid-2020 to Jan 2021)\[28\].

• GNET’s report shows the top meme clusters varied by year (2020: climate, Soros, pro-Trump; 2021: MAGA, lobbying, gender/children, leftists, etc.)\[27\]. They also note that branding (logos, watermarks) boosted engagement\[29\].

• Engagement Patterns: Studies confirm memes excel at emotional resonance. Alafnan’s analysis noted “memes’ emotional resonance and viral potential contribute significantly to their effectiveness in influencing political opinions and mobilizing support”\[30\]. But this comes with polarization risk: memes “facilitate participation and awareness” but also “amplify divisiveness”\[31\].

• Content Analysis: Researchers often use mixed methods. For instance, Schmid et al. hand-coded 1,200 Telegram memes (identifying humor, extreme content, etc.) and measured views\[3\]. Others use computational methods: e.g. image recognition + deep learning (Lokmanoglu) or crowd-coded audits. Quality coding schemes tag “humor type, narrative frame, target group, ideology” to link memes with political effect. The Bülow & Johann (2023) experiments illustrate how presentation matters more than specific wording: viewers mainly react to “presentation as an image macro”\[32\].

Table 1: Platform affordances and typical meme usage Link to heading

(Sources: platform studies\[7\]\[27\] and general observations.)

4. Methods for Meme Analysis Link to heading

Research on memes typically involves:

• Corpus Selection: Define platforms (e.g. 4chan’s /pol/, Twitter hashtags, Reddit subreddits, TikTok tags) and time frames. For example, Schmid et al. compiled 1,200 memes from German far-right Telegram (2020–21)\[3\], while qualitative studies may focus on a sample of viral memes (e.g. 100 top-shared memes on Twitter for a week).

• Coding Scheme: Researchers develop categories for content. Common codes include Target (who is mocked), Narrative (resistance, conspiracy, patriotism), Humor type (satire, insult, irony, self-deprecation), Form (image macro, video, collage), Affect (anger, joy, contempt). Borderer traits could be coded by proxy: e.g. “low-deference language” or “honor/dishonor words used”.

• Quantitative Metrics: Metrics include frequency/prevalence of meme types, engagement statistics (views, likes, shares, comments), and diffusion speed (time to reach X shares). Network measures track repost paths. GNET used impact factor for meme clusters and “transmission rate” for spread\[27\]. Analytical tools include image clustering (to identify meme variants), NLP for captions, and statistical analysis of engagement.

• Qualitative Analysis: Close reading of meme text and images to interpret ideology, intertextual references, and cultural codes. Discourse analysis can reveal the subtext of honor codes (e.g. language of “honor” vs “duty” in memes). For example, Carrasco’s case study manually interpreted how left memes condensed critique in a few lines\[33\].

• Experimental Studies: As cited, experiments can test how features influence perception. Bülow & Johann (2023) ran online experiments varying “presentation, language variety, humor” to see what drives users to share image macros\[34\]\[32\]. They found format matters most\[32\], showing that being recognizable as a meme is key.

Below is a flowchart summarizing a typical research process.

flowchart LR
    A[Define Research Question] --> B[Collect Corpus (memes)] 
    B --> C[Content Coding Scheme (targets, humor, tone, etc.)]
    C --> D{Analysis Methods}
    D -->|Quantitative| E[Compute Metrics (frequency, shares, velocity)]
    D -->|Qualitative| F[Discourse & Semiotic Analysis]
    E & F --> G[Map Features to "Borderer-Right" Traits]
    G --> H[Compare Ideological Uses]
    H --> I[Report Findings (tables, figures, recommendations)]

(Any actual study should note corpus size, time range, and selection criteria. In this report, we draw on published studies whose methods can be consulted in original sources\[3\]\[27\].)

5. Mapping Meme Features to Borderer-Right Traits Link to heading

We now link specific meme characteristics to the borderer traits defined above, with examples where possible:

• Anti-Elite / Low Deference:

• Features: Direct ridicule of politicians, experts, celebrities. Use of derogatory captions (“clown world”, “Karen”), demoting titles (e.g. calling a senator “Karen” instead of by name). Memes often expose supposed hypocrisy (e.g. video clip of a leader saying one thing vs doing another, captioned scornfully).

• Borderer Trait: Conveys contempt for authority. By mocking status symbols, memes express “I don’t respect your office or credentials” (low deference).

• Example: The “Karen” meme class. Or “Suit guy vs Hoodie guy” shows a casually dressed rebel outrunning a business-suited figure, taunting business elites.

• Honor/Taunt Culture:

• Features: Outright insults, boasting claims (“We own the libs”, “Triggered!”). Memes set up adversarial comparisons (good vs villain). Shaming language is common.

• Borderer Trait: Emphasizes winning insults and public humiliation of rivals. This reflects an honor culture where one’s group gains prestige by demeaning others.

• Example: “Dunking” memes where one character humiliates another (graph of Trump comment vs Biden modest reply, encouraging viewers to “ratio”). The “That’s like, your opinion, man” line from Big Lebowski as meme to belittle opponents’ arguments.

• Performative Aggression:

• Features: Shock value images, profanity, extreme exaggeration. Memes may depict violence or gore (safely behind 2011 shock memes history) or severe caricatures. They often break taboos (e.g. referencing recent tragedies or using racist tropes as “ironic” humor).

• Borderer Trait: Displays bravado and willingness to offend for effect. Aggressive style signals dominance and authenticity in borderer culture.

• Example: “Deep-fried” memes (overexposed images with outrageous captions) amplify aggression. Pepe with angry face, or the “2+2=fish” math joke mocking earnest learners.

• Status Inversion:

• Features: Elevating ordinary or “outcast” figures, demonizing elites. E.g., portraying an internet troll or gamer as heroic vs a politician as a fool. Memes often celebrate the “little guy” who says taboo truths that the elite won’t.

• Borderer Trait: Inverts social hierarchy, a core borderer impulse. It embodies the frontier valorization of the underdog and distrust of central power.

• Example: The “NPC Wojak” meme portrays conformist liberals as mindless actors, while an average guy (a smiling Wojak or “doomer” meme) is shown as thoughtful. Another: “Guy holding up a price tag that’s too small” meme, where the cheap beer-drinking mule represents the “common man” triumphing over “bourgeois beer”.

• Group Solidarity Through Exclusion:

• Features: In-group jargon or images that outsiders won’t understand. Frequent inside jokes or coded references (e.g. QAnon symbols hidden in memes).

• Borderer Trait: Creates an “honor community” against outsiders. The secrecy and in-joke nature reinforces group identity (us vs them).

• Example: /pol/ memes with triple parentheses or coded hate symbols. The use of coded speech (“words mean whatever we want”) signals membership.

These mappings are illustrated in Table 2 below:

Table 2: Meme Features Linked to Borderer-Right Traits Link to heading

(“OK Boomer” memes against older liberals, for instance, turned respect for elders into mockery (low deference).)

We embed an example image below illustrating disrespectful humor – a classical statue with “thug life” sunglasses, symbolizing how culture milestones are treated irreverently (Figure 1).

<img src=“assets/media/rId62.png” style=“width:5.83333in;height:3.28417in” / />Figure 1: A meme-ready classical statue (“digital carnivalesque” mockery). Such images exemplify meme culture’s irreverence toward prestige, mocking high culture with low-brow humor\[1\] (source: UOC News)\[1\].

6. Cross-Ideological Adoption Link to heading

Although the borderer style is often associated with the right, meme formats have spread across the spectrum.

• Right-Wing Use: Emphasizes the negative borderer traits above. We see frequent anti-immigrant, misogynist jokes (even if cloaked in irony), and celebration of free-speech defiance. E.g. “Triggering liberals” videos, “Red pill” memes about revealing ‘truth’, or Internet-archtypal trolls proudly mocking. Right memes often engage in status inversion by framing “ordinary patriots” vs “out-of-touch elites”.

• Left-Wing Use: Adapts similar forms but with different content. Left memes still attack “outsiders” (capitalists, racists, the government) but often for compassionate reasons (e.g. humane politics). They may also invert status by elevating marginalized voices. Some left memes employ sharp humor and absurdity (e.g. Libertarian socialist characters, Bernie memes), but often with appeals to solidarity. As one author notes, left memes “condense analysis into a few sentences” to critique liberal hypocrisy\[33\], e.g. highlighting how Democrats fail to deliver on progressive promises. They can be sarcastic (“this is fine” dog meme used to illustrate capitalist ignorance) but rarely glorify spite for its own sake.

• Centrist or Neutral: Some memes aim for broad humor (e.g. pet memes). Centrist influencers might use memes for engagement but avoid extreme taunting. However, in polarized moments, even centrist memes can adopt ironic detachment.

Importantly, the form is versatile. Alafnan’s study shows memes in echo chambers reinforce the user’s own tribe\[5\]. Thus, a meme template (say, a popular comic panel) can be used by both sides: e.g., one side might caption it “When Biden…”, the other “When Trump…”, each mocking the other.

Table 3 (below) compares how various political groups typically employ memes:

(This table is illustrative; actual content varies widely within each group.)

7. Historical and Contextual Factors Link to heading

Meme culture did not emerge overnight. Its borderer style roots can be traced historically:

• Origins (2000s): Early memes (LOLcats, Dancing Baby) were mostly silly viral jokes. The mid-2000s saw the rise of 4chan (2003) and Reddit, creating subcultural communities. 4chan’s /pol/ board explicitly fostered “trolling for the lulz,” embedding a low-deference ethic from the start.

• Social Media Era (2010s): As platforms like Facebook/Twitter grew, memes became mainstream viral currency. Notably, the meme “Harlem Shake” (2013) and “Rickroll” were apolitical fads. But politicization grew: Reddit’s “Gamergate” controversies (2014) showed how meme tactics (gendered harassment) enter politics. The alt-right began rebranding Pepe the Frog (2015-16) into a symbol of rebellion\[35\].

• 2016 US Election: Memes exploded as political tools. “Make America Meme Again” (Woods & Poole, 2019) documents how both sides weaponized internet humor. The election was labeled “the most-memed in history,” with Pepe and the “NPC” meme becoming iconic on the right\[17\]. The left’s “dank memes” page co-opted stock images for progressive critique (Bernie’s memes at inauguration, “This is fine” chair).

• Mobile & Video (2020+): TikTok’s rise introduced viral short-video memes (often lighthearted, but also used for political messaging). Memes adapted to quick-consumption formats. The pandemic period saw memes about conspiracy theories (QAnon spurred coded symbols, e.g. cryptic “where we go one…” memes), and satirical takes on lockdown.

• Attention Economy: Quick humor & clickbait culture mean memes are tuned for shareability. As one scholar notes, the internet’s logic is not to “bring bodies together” but to maximise reach and repetition of a message\[11\]. Borderer memes excel in this economy: their concision and shock attract clicks, then spread through “participatory remix”\[11\]\[30\].

The timeline below summarizes major meme-culture milestones:

timeline
    2000 - 2005
        : Early internet memes: e.g., Dancing Baby, Hampster Dance; 4chan founded (2003)
    2006 - 2011
        : Social media rises; viral memes (LOLcats, Rickroll); mainstream meme sites emerge
    2012 - 2015
        : Politicized memes; Gamergate (2014) sparks culture wars; Pepe co-opted by emerging alt-right
    2016 - 2019
        : Memes in 2016 US election; alt-right mainstream meme wars (Trump memes, fascist references); left memes emerge (Bernie, AOC activism)
    2020 - 2024
        : TikTok video memes explode; meme activism on climate, Covid; 2024 election memes and global meme solidarity

(Figure 2: High-level timeline of internet meme culture and political events.)

Tech & Subculture Context Link to heading

• Platform Design: Anonymity (4chan) encourages uninhibited (borderer) discourse. Networks reward sensational content. The “algorithmic virality” (TikTok, Instagram Explore) incentivizes grabbing attention by any means.

• Attention Shifts: With declining trust in institutions, some people turn to “alternative channels” – memes on fringe forums often cite YouTube pundits or conspiracy blogs\[36\]. The meme subculture’s distrust of mainstream media parallels borderer skepticism of official narratives.

• Meme Communities: Subcultures (gamers, “egirls”, QAnon, socialist meme circles) have their own norms. But many overlap (some activists learn from trolls, e.g. leftists use Pepe ironically, or mod outfits of r/politics copy posting styles from 4chan).

• Memetic Evolution: Internet culture has its own traditions of “shitposting” (posting low-effort aggressive content) and “raids” (coordinated trolling). These too align with borderer aggression – tactical disruption for its own sake.

8. Implications Link to heading

The convergence of meme style and borderer-right traits has several consequences:

• Polarization and Echo Chambers: Memes reinforce group identities, making moderation of discourse hard. The insular circulation means each side often misreads the other as cynical or unserious. As Alafnan (2025) notes, memes “predominantly circulate within political echo chambers”, limiting cross-talk\[5\]. This intensifies affective polarization: users see their own ideals caricatured in opposing memes, deepening divides.

• Emotional Persuasion: Memes appeal to emotion more than reason. Their brevity and humor can be persuasive for in-group members. They can raise mobilizing energy (people feel part of a fun movement)\[11\]\[30\]. But they also bypass critical thinking: a study by Schmid et al. found that humor-laden extremist memes reached wider audiences than serious posts\[3\], meaning dangerous ideas slip under the radar.

• Erosion of Trust: By mocking institutions (universities, judges, scientists), meme culture fosters cynicism. Insults like “fake news” or “snowflake” (originating in memes) erode respect for expertise. Over time, this borderer disrespect can weaken social norms of trust in fact-based authority.

• Civic Discourse: Memes treat politics as a game or skirmish (“raid terrain”), not deliberation. Political debate becomes a contest of one-liners and dunking. While this can engage younger people (increasing participation online), it also undermines patience for nuance. As some authors warn, memes “challenge democratic discourse by amplifying divisiveness”\[30\].

• Recruitment & Radicalization: The humor can serve as a gateway to radicalism. Trillò & Shifman (2021) note that as the far-right moves mainstream, their memes embed collectivist values (patriotism, hierarchy) into an attractive package\[13\]. Newcomers might join for the jokes and find themselves swayed by the values under the surface.

• Demographic Shift: Younger generations’ fluency in meme-speak means mainstream movements must adapt or cede cultural ground. The Pew poll (cited by Wired) shows Gen Z leaning left and integrating meme activism into their identity\[37\]. Whether this leads to more productive civic engagement or just more polarized social media remains open.

9. Recommendations Link to heading

For Researchers: Build large, cross-platform meme corpora over time (e.g. archive Reddit posts with “meme” tags, collect Twitter image macro tweets). Use mixed methods: combine AI tools for image/text clustering with ethnographic study of meme forums. Examine not just far-right but comparative studies: how do structure and reception differ by ideology? Investigate audience effects: through surveys/experiments, test how different viewers interpret the same meme\[30\]\[32\]. Transparency on assumptions (size, period) is crucial in any study. Share coding schemes publicly for replicability. (See existing methods\[3\]\[32\].)

For Platforms: Recognize that memes often carry political intent. Simple image-content filtering fails to catch context. Instead, platforms might invest in multimodal analysis (visual + caption + user metadata) to detect disinformation or hate. But be cautious: meme moderation risks backlash (“censorship” claims). Increasing user media literacy may be more viable: e.g. labeling known political memes as such, or providing “meme decoders” for citations.

For Civic Actors: Educate citizens to “read” memes critically. Highlight that a meme’s humor can hide bias or falsehood. Encourage diversity of media diets so one sees multiple “echoes” of a meme’s message (to compare frames). Creative counter-memes can be used to debunk false claims (though must match virality energy). Promoting digital civics courses that cover meme literacy may strengthen deliberative norms.

Overall, analysts should treat meme culture as a serious communicative force, not mere nonsense\[38\]. It is a powerful emotional grammar that subverts decorum in politics, for better or worse. Understanding its grammar – taunts, reversals, irreverence – is essential in this moment where memetic style significantly influences political life.

Sources: The above analysis synthesizes research from political communication, media studies, and journalism. Key citations include Soriano (UOC, 2024) on meme “politigrams”\[1\]\[39\], Schmid et al. on far-right meme reach\[3\]\[11\], Trillò & Shifman on meme values\[13\], McSwiney et al. on meme humor\[2\], Rogers on platform comparisons\[7\]\[25\], GNET on meme diffusion\[27\]\[28\], Alafnan on echo chambers\[5\], Carrasco and Wired on left memes\[20\]\[19\], and others as cited. Where no direct source was available, we note assumptions (e.g. general content patterns) based on media analysis. All quoted material retains reference markers【†L】 to the original documents listed below.

\[1\] \[10\] \[38\] \[39\] Memes, a political weapon | UOC

https://www.uoc.edu/en/news/2024/memes-affect-political-ideas

\[2\] \[15\] \[16\] Sharing the hate? Memes and transnationality in the far right’s digital visual culture | Request PDF

https://www.researchgate.net/publication/355820214_Sharing_the_hate_Memes_and_transnationality_in_the_far_right's_digital_visual_culture

\[3\] \[6\] \[9\] \[11\] \[12\] Memes, humor, and the far right’s strategic mainstreaming | Request PDF

https://www.researchgate.net/publication/379742467_Memes_humor_and_the_far_right's_strategic_mainstreaming

\[4\] \[18\] \[19\] \[22\] \[24\] \[37\] The left-wing meme-makers trying to reclaim meme culture | WIRED

https://www.wired.com/story/left-wing-memes/

\[5\] \[8\] \[30\] \[31\] \[32\] \[34\] Internet memes as multilayered re-contextualization vehicles in lay-political online discourse | Request PDF

https://www.researchgate.net/publication/344602601_Internet_memes_as_multilayered_re-contextualization_vehicles_in_lay-political_online_discourse

\[7\] \[25\] \[26\] Marginalizing the Mainstream: How Social Media Privilege Political Information - PMC

https://pmc.ncbi.nlm.nih.gov/articles/PMC8290493/

\[13\] \[14\] \[35\] (PDF) Memetic commemorations: remixing far-right values in digital spheres

https://www.researchgate.net/publication/354700490_Memetic_commemorations_remixing_far-right_values_in_digital_spheres

\[17\] \[20\] \[21\] \[23\] \[33\] (PDF) Left Memes – Resistance, Ridicule, and Belonging in Times of the Internet

https://www.researchgate.net/publication/387562102_Left_Memes_-_Resistance_Ridicule_and_Belonging_in_Times_of_the_Internet

\[27\] \[28\] \[29\] A Picture is Worth a Thousand (S)words: Classification and Diffusion of Memes on a Partisan Media Platform – GNET

https://gnet-research.org/2023/03/29/a-picture-is-worth-a-thousand-swords-classi%EF%AC%81cation-and-di%EF%AC%80usion-of-memes-on-a-partisan-media-platform/

\[36\] HKS Misinformation ReviewResearch note: The spread of political misinformation on online subcultural platforms | HKS Misinformation Review

https://misinforeview.hks.harvard.edu/article/research-note-the-spread-of-political-misinformation-on-online-subcultural-platforms/