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Altuğ Tanaltay

Datos Biográficos

ID1173438
NOMBREAltuğ Tanaltay
NOMBRESAltuğ
APELLIDOTanaltay
FIRMATANALTAY A
AFILIACIONESSabancı Üniversitesi
ORCID0000-0002-1388-1957
VERIFICADOSí
TOTAL DE OBRAS3
TOTAL DE CITAS1
TOTAL COMO AUTOR3
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2026
ÍNDICE H1
  • Beyond words

    Open Access•Altuğ Tanaltay, Selcen Ozturkcan et al.•ARTICLE•Humanities and Social Sciences…•2026

    This study explores how brands and users communicate through emojis across culturally distinct markets, focusing on Turkish- and English-speaking users on social media platform X. It examines cross-cultural differences in emoji usage patterns, specifically their prevalence, diversity, preferences, and emotional meanings, by applying statistical and information theory methods to large-scale social media data collected over an extended period. Our …

  • Can social media predict demand in humanitarian crises? A case study of the 2023 Türkiye earthquake

    Open Access•Parinaz Kiavash, Altuğ Tanaltay et al.•ARTICLE•Technology in Society•2025•Citada por: 1

  • Can Social Media Predict Soccer Clubs’ Stock Prices? The Case of Turkish Teams and Twitter

    Open Access•Altuğ Tanaltay, Amirreza Safari Langroudi et al.•ARTICLE•SAGE Open•2021

    Finance literature in sports focuses on three main methods of stock price prediction in soccer: based on match results, pre-match expectations, or match importance. For pre-match expectations, betting odds is commonly used as the indicator of investors’ sentiments. We propose to include Twitter data as another indicator of this variable, and analyze the links among soccer match results, sentiments, and stock returns of the four major Turkish socc…

  • Can social media predict demand in humanitarian crises? A case study of the 2023 Türkiye earthquake

    Open Access•Parinaz Kiavash, Altuğ Tanaltay et al.•ARTICLE•Technology in Society•2025•Citada por: 1

  • Can Social Media Predict Soccer Clubs’ Stock Prices? The Case of Turkish Teams and Twitter

    Open Access•Altuğ Tanaltay, Amirreza Safari Langroudi et al.•ARTICLE•SAGE Open•2021

    Finance literature in sports focuses on three main methods of stock price prediction in soccer: based on match results, pre-match expectations, or match importance. For pre-match expectations, betting odds is commonly used as the indicator of investors’ sentiments. We propose to include Twitter data as another indicator of this variable, and analyze the links among soccer match results, sentiments, and stock returns of the four major Turkish socc…

  • Can social media predict demand in humanitarian crises? A case study of the 2023 Türkiye earthquake

    Open Access•Parinaz Kiavash, Altuğ Tanaltay et al.•ARTICLE•Technology in Society•2025•Citada por: 1

  • Beyond words

    Open Access•Altuğ Tanaltay, Selcen Ozturkcan et al.•ARTICLE•Humanities and Social Sciences…•2026

    This study explores how brands and users communicate through emojis across culturally distinct markets, focusing on Turkish- and English-speaking users on social media platform X. It examines cross-cultural differences in emoji usage patterns, specifically their prevalence, diversity, preferences, and emotional meanings, by applying statistical and information theory methods to large-scale social media data collected over an extended period. Our …

Social media (3 obras) · Advertising (1 obras) · Artificial Intelligence (1 obras) · Business (1 obras) · Computer Science (1 obras) · Computer-mediated communication (1 obras) · Consumer Behavior in Brand Consumption and Identification (1 obras) · Cultural diversity (1 obras) · Descriptive statistics (1 obras) · Digital Communication and Language (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae