Meme culture and suicide sensitivity: a quantitative study

The study investigates whether exposure to internet memes influences suicide sensitivity, defined as awareness and nuanced understanding of suicide’s multifaceted causes and impacts. The authors hypothesized that as meme culture permeates social work students’ worldviews, suicide sensitivity would decline (i.e., desensitization). Given the prevalence of memes and the serious public health burden of suicide (with WHO estimates noting a death every 40 seconds and many more attempts), the study focuses on social work graduate students—a population under significant stress and positioned to work with vulnerable clients—to assess both potential short-term and long-term effects of meme exposure on suicide sensitivity.

The review spans three themes: meme culture, graduate students’ mental health, and suicide in graduate students, plus an overview of methods used in related literature. Memes are cultural replicators transmitted via imitation across speech, writing, images, and videos; formats evolve and compete for attention (Dawkins; Mazambani et al.; Roy). Examples include win/fail, Ebola-chan, car salesman, and moth/lamp memes, illustrating how memes can both build in-group identity and potentially shape attitudes and behaviors (DeCook; Chen). Graduate students often experience entrapment, lowered self-worth, and self-deprecation through one-downmanship, contributing to depression and anxiety (Ask & Abidin). Suicide risk patterns show complex differences: graduate students are less likely than undergraduates to attempt or ideate but paradoxically more likely to die by suicide; screening programs (ISP, PHQ-9) identify at-risk grad students (Brownson; Moffitt; Garcia-Williams). Methodological summaries note varied sampling (web-based convenience, simple and stratified random sampling), data collection (online sources and in-person surveys/interviews), and testing (qualitative coding; ANOVA, chi-square, regression). Limitations commonly include external validity issues from convenience sampling, potential response biases (social desirability, conformity), and trade-offs between qualitative depth and quantitative breadth. The review underscores a gap: no prior studies directly examined the relationship between meme exposure and suicide sensitivity in graduate social work students, motivating the current exploratory, quantitative approach.

Design: Quantitative pre-test/post-test design with an intervention. Participants: n=51 social work students at the College of Staten Island (MSW/BSW), recruited via purposive convenience sampling in Spring 2019; assigned by class order to experimental (n=29) or control (n=22) groups. Procedure: Online informed consent followed by a 25-item pre-test questionnaire. Demographics (8 items); meme familiarity (5 memes rated 1–3: 1=not at all familiar; 3=very familiar); suicide sensitivity items (12 statements rated 1–7: 1=strongly disagree; 7=strongly agree). Intervention: Slide presentation of 10 memes shown for 30 seconds each (total 5 minutes). Experimental group viewed suicide/depression-themed memes; control group viewed general-themed memes. Post-test: Re-administered the same 12 suicide sensitivity statements. Measures: Meme familiarity summed (range 5–15) and categorized as low (5–8), medium (9–12), high (13–15). Suicide Sensitivity Scale: 12 items capturing sensitivity (some items reverse-scored); total range 12–84 with higher scores indicating higher sensitivity; categories: low (12–30), mild (31–48), medium (49–67), high (68–84). Psychometrics: Cronbach’s alpha and exploratory factor analysis (EFA) assessed internal consistency and dimensionality. Data analysis: Short-term effects assessed via pre/post bivariate correlations within experimental and control groups for each item and the aggregate sensitivity score. Long-term effects assessed via one-way ANOVA testing pre-test sensitivity (12 items and aggregate) across meme familiarity levels (low/medium/high). Ethics: Anonymized coding (E1–29, C1–22), secure storage and deletion plan, risk mitigation via debriefing and counseling resources; IRB exempt approval obtained.

Sample: 51 participants; gender: 43 female, 6 male, 2 other/prefer not to say; ethnicity diverse (e.g., 19 White, 13 Black/African American, 7 Asian, 6 Hispanic/Latino); ages 20–49; most from Staten Island; variety of program tracks. Short-term effects (bivariate correlations pre vs post): - Many individual items showed significant pre–post correlations in both groups, but patterns differed. Examples: • “Unpleasant to think about suicide”: Experimental p=0.012, r=0.460; Control p=0.026, r=−0.472. • “Family upset if someone in my family committed suicide”: Experimental p=0.023, r=0.421; Control p<0.000, r=0.985. • “People who commit suicide are selfish” (reverse-coded): Experimental p=0.001, r=0.605; Control p<0.000, r=0.779. • “Suicide is the easy way out”: Experimental p<0.000, r=0.639; Control p=0.005, r=0.576. • “Suicidal ideation needs to be addressed regardless of the situation”: Experimental not significant (p=0.563, r=0.112); Control p<0.000, r=0.706. • “People would be happier if I were dead” (reverse-coded): Experimental p=0.006, r=0.494; Control p<0.000, r=0.973. • “Only outcome of depression is suicide” (reverse-coded): Experimental not significant; Control p<0.000, r=0.892. - Aggregate sensitivity score: Significant in both groups; Experimental p<0.000, r=0.724; Control p=0.007, r=0.554. However, descriptively, the experimental group showed no overall change in sensitivity categories, while the control group showed a decrease in sensitivity (shift toward desensitization). - Item-level directional shifts: Experimental group more often showed pooling toward neutral or increased sensitivity on several items; only one item (“understand”) moved toward desensitization. Control group mostly showed no change on many items, with “easy” becoming more desensitized, and “selfish,” “ideation,” and “should” more sensitive. Long-term effects (one-way ANOVA): - Meme familiarity (low/medium/high) showed no significant differences on any of the 12 pre-test items or the aggregate sensitivity score, indicating no detectable long-term effect of meme familiarity on suicide sensitivity. Scale reliability and structure: - Suicide Sensitivity Scale internal consistency was low (Cronbach’s alpha = 0.407). Item-total analysis suggested removing six items (“Understand,” “Should,” “Happy,” “Get over,” “Annoy,” “Depressicide”) would raise alpha to 0.624; inter-item correlation mean 0.216. - EFA indicated four factors (eigenvalues ~2.451, 2.001, 1.673, 1.297) accounting for ~61.5% variance; with the six items removed, a two-factor solution accounted for ~57.7% variance. Overall: No evidence of long-term desensitization by meme familiarity; short-term effects observed, with general memes associated with decreased overall sensitivity post-intervention, whereas suicide/depression memes did not reduce overall sensitivity and sometimes increased sensitivity on specific items.

The study asked whether meme culture impacts suicide sensitivity among social work students. Findings indicate no long-term relationship between meme familiarity and suicide sensitivity, failing to support the hypothesized cumulative desensitization. Short-term, exposure effects were nuanced: general (non-suicide) memes were associated with a decrease in overall sensitivity immediately post-exposure, whereas suicide/depression memes did not decrease aggregate sensitivity and, for several items, appeared to increase sensitivity or shift responses toward neutrality. This suggests that topic-specific exposure may prime awareness and concern about suicide, while general humor content might temporarily blunt sensitivity, potentially through mood or attentional mechanisms. For social work practice, the results imply that viewing general memes immediately before client interactions could transiently reduce sensitivity, whereas targeted discussion or exposure to suicide-related content might heighten sensitivity on specific dimensions. However, effects appear short-lived and context-dependent, and measurement reliability limitations temper strong inferences.

This exploratory quantitative study contributes initial evidence that meme exposure does not produce long-term changes in suicide sensitivity among social work students, but short-term effects exist: general memes can transiently reduce overall sensitivity, while suicide/depression-themed memes do not reduce and may increase sensitivity on specific items. The study advances a new Suicide Sensitivity Scale, though its internal consistency requires refinement. Future research should: (1) determine the duration and decay of short-term effects; (2) examine broader and more representative samples across professions and populations; (3) evaluate whether memes can be leveraged therapeutically to facilitate client engagement; and (4) refine and validate a shorter, psychometrically stronger sensitivity scale.

Key limitations include: (1) meme selection based on researchers’ humor preferences may limit engagement and ecological validity; (2) fixed 30-second display per meme may cause disengagement for fast readers or uninterested participants; (3) sensitive and polarizing items (e.g., “Some people should commit suicide”) plus name collection for grouping may have induced discomfort or socially desirable responding; (4) small, convenience sample from a single institution limits representativeness and power; (5) low internal consistency of the Suicide Sensitivity Scale (alpha=0.407), though a reduced item set improved reliability; (6) uneven group sizes and course-based group assignment may introduce confounds.