Evidence map›Paper›PMID 38539692›Full record

ArticleEntropy (Basel, Switzerland)2024

Word Length in Political Public Speaking: Distribution and Time Evolution.

Natalia L Tsizhmovska, Leonid M Martyushev

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Natalia L TsizhmovskaTechnical Physics Department, Ural Federal University, 19 Mira St., 620002 Ekaterinburg, Russia.
Leonid M MartyushevTechnical Physics Department, Ural Federal University, 19 Mira St., 620002 Ekaterinburg, Russia.ORCID 0000-0001-7066-8768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, word length in the texts of public speeches by USA and UK politicians is analyzed. More than 300 speeches delivered over the past two hundred years were studied. It is found that the lognormal distribution better describes the distribution of word length than do the Weibull and Poisson distributions, for example. It is shown that the length of words does not change significantly over time (the average value either does not change or slightly decreases, and the mode slightly increases). These results are fundamentally different from those obtained previously for sentence lengths and indicate that, in terms of quantitative linguistic analysis, the word length in politicians' speech has not evolved over the last 200 years and does not obey the principle of least effort proposed by G. Zipf.

Indexed as

brevity and Menzerath–Altmann lawslognormal distributionprinciple of least effortquantitative linguisticsword lengths

Identifiers

PMID38539692
PMCPMC10968903

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.