Embedded Files
Research Direction: Understanding the Dynamics of Influencer Marketing Through Metadata Analysis
Research Direction: Understanding the Dynamics of Influencer Marketing Through Metadata Analysis
In the digital era, influencer marketing has emerged as a cornerstone of advertising strategies, enabling brands to reach niche audiences through trusted voices. My research focuses on unraveling the complexities of this industry by leveraging metadata analysis to study the activities, economic impact, and engagement patterns of content creators.
What methods do we use?
What methods do we use?
Sentiment analysis
Sentiment analysis
To measure viewers' engagement and cognitive response to creative content
FaceReader Software
FaceReader Software
To measure emotional response when consuming creative content
Metadata
Metadata
To measure the performance of online creative content
How much influencers make? What are the revenue streams?
How much influencers make? What are the revenue streams?
What topics do we focus on at the moment?
What topics do we focus on at the moment?
Connecting content triggers with emotional response: FaceReader
Tracking brand collaborations: Metadata and video transcripts
Audience Engagement Patterns : Controversial vs. non-controversial content
Exploring Niche Influencers: The case of CosTube
Page updated
Report abuse