Altuğ Tanaltay
Biographic Data
| ID | 1173438 |
|---|---|
| NAME | Altuğ Tanaltay |
| GIVEN NAMES | Altuğ |
| FAMILY NAME | Tanaltay |
| SIGNATURE | TANALTAY A |
| AFFILIATIONS | Sabancı Üniversitesi |
| ORCID | 0000-0002-1388-1957 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 1 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Beyond words
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
Can Social Media Predict Soccer Clubs’ Stock Prices? The Case of Turkish Teams and Twitter
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 Soccer Clubs’ Stock Prices? The Case of Turkish Teams and Twitter
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
Beyond words
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 works) · Advertising (1 works) · Artificial Intelligence (1 works) · Business (1 works) · Computer Science (1 works) · Computer-mediated communication (1 works) · Consumer Behavior in Brand Consumption and Identification (1 works) · Cultural diversity (1 works) · Descriptive statistics (1 works) · Digital Communication and Language (1 works)