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Using Italian data from Twitter, we employ textual data and machine learning techniques to build new real-time measures of consumers' inflation expectations. First, we select some relevant keywords to identify tweets related to prices and expectations thereof. Second, we build a set of daily...
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The main goal of this study-and its potential to add to the policy debate-is to cast light on the network of voices that influence the narrative about inflation and monetary policy in South Africa. To that end, this paper first identifies the main individuals (journalists, domestic policy...
Persistent link: https://www.econbiz.de/10014368468
This study investigates the role of media tone on inflation expectations. Examining the relationships between news and the inflation expectations of various U.S demographic groupings, we find that traditional news influences older cohorts, while social media news align more closely with the...
Persistent link: https://www.econbiz.de/10015055189
Recent shifts in societal discourse have led digital platforms to support equity, inclusivity, and diversity by introducing identity signaling features, e.g., indicators of owner race or gender. In this work, we explore whether, when, and how using those features may impact retailer demand. We...
Persistent link: https://www.econbiz.de/10014235600
In the online word-of-mouth literature, research has consistently shown that negative reviews have a greater impact on product sales than positive reviews. While this negativity effect is well documented at the product level, there is less consensus on whether negative or positive reviews are...
Persistent link: https://www.econbiz.de/10014131995
This study documents the existence and prevalence of the “review updating” phenomenon, where consumers change the ratings and content of their existing reviews, and examines its implications for platforms and businesses. Using both primary and secondary data, a dataset comprising 3 million...
Persistent link: https://www.econbiz.de/10015134064
This study follows a novel approach proposed by Angelico et al. (2022) using Twitter to measure inflation perception in Colombia in real time. By applying machine learning techniques, we implement two real-time indicators and show that both exhibit a dynamic similar to inflation and inflation...
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