Speculative survival through capital commodity in a rentier economy: representation of inflation on Iranian social media

This study explores the Iranian public’s perception of economic inflation, emphasizing the representation and subsequent attitudes across different commodity categories. Using data from X (formerly Twitter) and Instagram between October 2022 and November 2023, this study applies quantitative content and sentiment analyses on over 6.3 million posts, comparing social-media representation with official inflation data. Computational social science methods, such as data mining, facilitated the data collection. The results reveal a hierarchy of representation: capital commodities (housing, cars, and gold) receiving the most attention, followed by essential and lastly non-essential ones, with little to no consistent correlation between inflation rate and representation. A negative binomial regression confirms that inflation itself is not a significant predictor of public attention, while commodity type, particularly capital commodities, exerts a strong independent effect. Sentiment analysis shows that positive reactions to capital commodity inflation exceed those for essential by a factor of 5.1 and non-essential by 18. Therefore, the emphasis on capital commodities is not merely a response to living-cost crisis or perceptual bias, but reflects collective economic memory and experience under a rentier-crony capitalist system. In this Global South context, speculative behaviors towards capital commodities emerge as a socially-reinforced survival strategy to preserve wealth.

Authors

Institutions

Publication Details

Journal
Cogent Social Sciences
Published
2026-02-04
DOI
https://doi.org/10.1080/23311886.2026.2616844
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Speculative survival through capital commodity in a rentier economy: representation of inflation on Iranian social media

Rasoul Mohsenzadeh, Moein Kazemi, Mohammad Eskandari nasab, Alireza Amoupour
Cogent Social Sciences
Market Dynamics and Volatility
article

Speculative survival through capital commodity in a rentier economy: representation of inflation on Iranian social media

Rasoul Mohsenzadeh, Moein Kazemi, Mohammad Eskandari nasab, Alireza Amoupour
article en

Abstract

This study explores the Iranian public’s perception of economic inflation, emphasizing the representation and subsequent attitudes across different commodity categories. Using data from X (formerly Twitter) and Instagram between October 2022 and November 2023, this study applies quantitative content and sentiment analyses on over 6.3 million posts, comparing social-media representation with official inflation data. Computational social science methods, such as data mining, facilitated the data collection. The results reveal a hierarchy of representation: capital commodities (housing, cars, and gold) receiving the most attention, followed by essential and lastly non-essential ones, with little to no consistent correlation between inflation rate and representation. A negative binomial regression confirms that inflation itself is not a significant predictor of public attention, while commodity type, particularly capital commodities, exerts a strong independent effect. Sentiment analysis shows that positive reactions to capital commodity inflation exceed those for essential by a factor of 5.1 and non-essential by 18. Therefore, the emphasis on capital commodities is not merely a response to living-cost crisis or perceptual bias, but reflects collective economic memory and experience under a rentier-crony capitalist system. In this Global South context, speculative behaviors towards capital commodities emerge as a socially-reinforced survival strategy to preserve wealth.

Cogent Social SciencesVol. 12(1)
Allameh Tabataba'i University (IR), University of Tehran (IR)
Decent work and economic growth
Openalex Percentile: Top 69%
Market Dynamics and Volatility
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.