Amir Dehdarirad
Biographic Data
| ID | 6601339 |
|---|---|
| NAME | Amir Dehdarirad |
| GIVEN NAMES | Amir |
| FAMILY NAME | Dehdarirad |
| SIGNATURE | DEHDARIRAD A |
| AFFILIATIONS | Universidad Autónoma de Madrid |
| ORCID | 0009-0006-9168-0655 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Refugees, Immigrants, and Emigrants
This study employs Natural Language Processing and Critical Discourse Analysis to examine the representation of refugees, emigrants, and immigrants in Spanish media from 2010 to 2020. Analyzing 140,000 articles, we use computational techniques such as bias, toxicity, hate speech, sentiment, frame and metaphor analyses, with topic modeling to reveal how media shapes public perceptions and societal attitudes. Findings show emigrants are framed in c…
Belonging and borders
This study examines how Spanish political parties, Partido Socialista Obrero Español (PSOE), Partido Popular (PP), VOX, and Unidas Podemos (UP), construct and contest representations of Ukrainian refugees on X using Natural Language Processing (NLP), Critical Discourse Analysis (CDA), and statistical validation. PSOE exhibits higher positive sentiment and lower hate speech; PP shifts toward greater positivity; VOX displays negative sentiment, fea…
Semiotics and framing of Ukrainian refugees in Spanish political discourse
Semiotics and framing of Ukrainian refugees in Spanish political discourse
Refugees, Immigrants, and Emigrants
This study employs Natural Language Processing and Critical Discourse Analysis to examine the representation of refugees, emigrants, and immigrants in Spanish media from 2010 to 2020. Analyzing 140,000 articles, we use computational techniques such as bias, toxicity, hate speech, sentiment, frame and metaphor analyses, with topic modeling to reveal how media shapes public perceptions and societal attitudes. Findings show emigrants are framed in c…
Belonging and borders
This study examines how Spanish political parties, Partido Socialista Obrero Español (PSOE), Partido Popular (PP), VOX, and Unidas Podemos (UP), construct and contest representations of Ukrainian refugees on X using Natural Language Processing (NLP), Critical Discourse Analysis (CDA), and statistical validation. PSOE exhibits higher positive sentiment and lower hate speech; PP shifts toward greater positivity; VOX displays negative sentiment, fea…
Critical discourse analysis (2 works) · Politics (2 works) · Refugee (2 works) · Cognition (1 work) · Cognitive linguistics (1 work) · Computational and Text Analysis Methods (1 work) · Construct (python library (1 work) · CONTEST (1 work) · Corpus linguistics (1 work) · Cultural and political discourse analysis (1 work)