Evidence map›Paper›PMID 38615123›Full record

ArticleScientific reports2024

Psycholinguistic and emotion analysis of cryptocurrency discourse on X platform.

Moein Shahiki Tash, Olga Kolesnikova, Zahra Ahani, Grigori Sidorov

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
7.9field-weighted citation impact, top 3% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Moein Shahiki TashInstituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico, Mexico. mshahikit2022@cic.ipn.mx.
Olga KolesnikovaInstituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico, Mexico. kolesnikova@cic.ipn.mx.
Zahra AhaniInstituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico, Mexico.
Grigori SidorovInstituto Politécnico Nacional (IPN), Centro de Investigación en Computación (CIC), Mexico, Mexico.
Instituto Politécnico Nacional · MX

Funding

Consejo Nacional de Ciencia y Tecnología 20220852Consejo Nacional de Ciencia y Tecnología 20220859Consejo Nacional de Ciencia y Tecnología 20221627
6 · The paper itself

Abstract

This paper provides an extensive examination of a sizable dataset of English tweets focusing on nine widely recognized cryptocurrencies, specifically Cardano, Binance, Bitcoin, Dogecoin, Ethereum, Fantom, Matic, Shiba, and Ripple. Our goal was to conduct a psycholinguistic and emotional analysis of social media content associated with these cryptocurrencies. Such analysis can enable researchers and experts dealing with cryptocurrencies to make more informed decisions. Our work involved comparing linguistic characteristics across the diverse digital coins, shedding light on the distinctive linguistic patterns emerging in each coin's community. To achieve this, we utilized advanced text analysis techniques. Additionally, this work unveiled an understanding of the interplay between these digital assets. By examining which coin pairs are mentioned together most frequently in the dataset, we established co-mentions among different cryptocurrencies. To ensure the reliability of our findings, we initially gathered a total of 832,559 tweets from X. These tweets underwent a rigorous preprocessing stage, resulting in a refined dataset of 115,899 tweets that were used for our analysis. Overall, our research offers valuable perception into the linguistic nuances of various digital coins' online communities and provides a deeper understanding of their interactions in the cryptocurrency space.

Indexed as

CryptocurrencyDigital coinsPsycholinguisticReliability

Identifiers

PMID38615123
PMCPMC11016088
OpenAlexW4394784824

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.