CASE STUDY / Forensic Psychology / Linguistic Forensics

Implicit Power Drives in the Manifestos Preceding Autogenic Massacres

A 2017 Fielding Graduate University study scoring 23 autogenic-massacre manifestos against three published LIWC baselines. The implicit power dimension was elevated in the manifesto corpus on every comparison (t = 3.47, 3.66, 2.43; df = 22 each), with the highest-power vocabulary anchored by the collective pronoun 'we' rather than by individual aggression terms. Presented as exploratory, with the explicit aim of directing the dissertation work that followed.

Implicit Power Drives in the Manifestos Preceding Autogenic Massacres

01 / Introduction

Dr. Heather Leffew Fielding Graduate University, School of Psychology Originally presented 2017

02 / Abstract

Abstract

Twenty-three manifestos written by perpetrators of autogenic massacre, scored with Linguistic Inquiry and Word Count 2015 on a single dimension: implicit power language. The manifesto mean of 3.00 was tested against three published LIWC baseline rates. Personal blogs, expressive writing, and a multi-source composite. Independent samples t-tests returned t = 3.47, p < .001 vs blogs; t = 3.66, p < .001 vs expressive writing; t = 2.43, p = .02 vs the composite, df = 22 on each. The elevation held across all three comparison genres. Presented at Fielding Graduate University in 2017 as an exploratory study with the explicit aim of directing future research, not generating a predictive model.

03 / Autogenic Massacres

Autogenic Massacres

Mullen (2004) coined the term autogenic massacre for an act of mass killing arising from the perpetrator's own internal world rather than from political, religious, or organized group affiliation. The defining feature is that the violence is self-generated, often planned in isolation, and almost always carries a written or recorded artifact that the perpetrator intends to be read after the fact. Manifestos, communiques, and final statements are common. The literature consistently finds that these documents are produced; less consistently understood is what, if anything, they share linguistically.

Mohandie (2013) proposes four categories of violent offenders within this broader population. The twenty-three writers analyzed here all fell into either Type I (N = 8) or Type II (N = 14), with one document not categorized for the analysis. The question the study asked was narrow on purpose. Set aside content and theme. Set aside political affiliation, demographic background, and reported motive. Look only at one LIWC dimension, the implicit power drive, which Pennebaker, Boyd, Jordan, and Blackburn (2015) describe as tracking words relevant to status, dominance, and social hierarchy. Does this drive show up at a measurably different rate in the manifesto corpus than in baseline writing genres?

04 / Method

Method

Each manifesto was processed through LIWC2015, which assigns a normalized percent-of-words score on roughly ninety psychometric categories. The analysis used a single one of those categories: the power dimension. The score for each document is the percent of its words that map to the LIWC power dictionary. The corpus mean was 3.00 with a standard deviation of 1.28 and a standard error of 0.268.

Comparison was not against a separately scraped corpus. Pennebaker and colleagues publish LIWC2015 baseline rates for several large reference genres. Three of those published baselines anchored the comparison: personal blogs (M = 2.07), expressive writing (M = 2.02), and a multi-source composite of blogs, expressive writing, natural speech, novels, newspaper text, and Twitter postings (M = 2.35). Each was used as a fixed test value in an independent samples t-test against the manifesto sample, df = 22 in every case.

05 / Results

Results

All three comparisons reached significance. The manifesto mean of 3.00 exceeded the published baselines by margins ranging from 0.65 to 0.98 percentage points on a dimension where typical values across genres cluster around 2. The two largest gaps, versus blogs and expressive writing, cleared p < .001. The narrower gap, against the multi-source composite, still cleared p = .02. The 95% confidence intervals for the mean difference did not include zero in any of the three tests.

Mean LIWC Power Score by Source

Comparison Test value Mean diff 95% CI t (df=22) p
vs Blogs 2.07 +0.93 [0.37, 1.48] 3.47 < .001
vs Expressive writing 2.02 +0.98 [0.42, 1.53] 3.66 < .001
vs Multi-source composite 2.35 +0.65 [0.09, 1.20] 2.43 = .02
06 / Vocabulary in the Highest-Power Manifestos

Vocabulary in the Highest-Power Manifestos

The poster's word cloud of the most frequent linguistic markers in the highest-power manifestos is dominated by the first-person plural pronoun we, which is consistent with the group-affiliation reading proposed by Meloy, Hoffmann, Guldimann, and James (2012). Power language in these texts tends to position the author as speaking for, or to, a collective rather than from individual grievance. Around the dominant we cluster terms of abstract civic stakes (tyranny, freedom, liberty), in-group anchors (children, engineers), and action verbs (fight, force). Smaller but still present: free, live, fail, declaration, defeating, truth, vain, powers, know.

The power dimension as defined in LIWC2015 indexes status, dominance, and social hierarchy. Read against the actual vocabulary that drove these scores, the elevation does not look like simple aggression or domination of an individual target. It looks like positioning. Of self relative to a collective, of the collective relative to a real or imagined adversary, of moral standing relative to a stake the author has decided is at risk.

07 / Findings and Limits

Findings and Limits

The implicit power drive showed up at a higher rate in this manifesto corpus than in three different baseline writing genres. The elevation held across blogs, expressive writing, and a multi-source composite that itself averaged over genres, which is the breadth that makes the finding interesting. A signal that survives comparison against several different reference distributions is harder to explain as an artifact of any one of them.

The poster's own conclusion was deliberately narrow. From the limitations section: "This is a preliminary, exploratory study intended not to provide predictive data of the psychological characteristics and motivations of the perpetrators of autogenic massacres, but rather to provide direction for future study." The point of the work was to identify a linguistic phenomenon worth investigating at a larger scale, not to build a classifier. The dissertation that followed picked up that thread and ran the typological work that this study only gestured at.

Elevation on one LIWC dimension across 23 documents is not a tool for identifying future perpetrators. It is an observation about a text class whose membership is already known. The interpretive direction it points toward, group affiliation and collective positioning rather than individual aggression, is consistent with the warning-behavior literature on identification and pathway warning behaviors (Meloy et al., 2012), and that connection is what made the dissertation step worth taking.

08 / References

References

American Psychological Association. (2002). Ethical principles of psychologists and code of conduct. Washington, DC: Author.

Harrison, M. A., & Bowers, T. G. (2010). Autogenic massacre as a maladaptive response to status threat. The Journal of Forensic Psychiatry & Psychology, 21(6), 916-932.

Meloy, J. R., Hempel, A. G., Gray, B. T., Mohandie, K., Shiva, A., & Richards, T. C. (2004). A comparative analysis of North American adolescent and adult mass murderers. Behavioral Sciences & the Law, 22(3), 291-309.

Meloy, J. R., Hoffmann, J., Guldimann, A., & James, D. (2012). The role of warning behaviors in threat assessment: An exploration and suggested typology. Behavioral Sciences & the Law, 30(3), 256-279.

Mohandie, K. (2013). Threat assessment in schools. In J. R. Meloy & J. Hoffmann (Eds.), International handbook of threat assessment (pp. 126-141). New York, NY: Oxford University Press.

Mullen, P. E. (2004). The autogenic (self-generated) massacre. Behavioral Sciences & the Law, 22(3), 311-323.

Neuman, Y., Assaf, D., Cohen, Y., & Knoll, J. L. (2015). Profiling school shooters: Automatic text-based analysis. Frontiers in Psychiatry, 6.

Pennebaker, J. W. (2011). The secret life of pronouns: What our words say about us. New York, NY: Bloomsbury Press.

Pennebaker, J. W., Boyd, R. L., Jordan, K., & Blackburn, K. (2015). The development and psychometric properties of LIWC2015. Austin, TX: University of Texas at Austin.

Schultheiss, O. C. (2013). Are implicit motives revealed in mere words? Testing the marker-word hypothesis with computer-based text analysis. Frontiers in Psychology, 4.

Thompson, S., & Kyle, K. (2005). Understanding mass school shootings: Links between personhood and power in the competitive school environment. Journal of Primary Prevention, 26(5), 419-438.

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