Converseon, a leading consumer intelligence technology and consulting firm that leverages human-centered machine learning to generate insights from unstructured social data released the Social Trust Index for the automotive industry at the New York Automotive show.
The index is the first to measure and rank expressed trust and distrust towards specific automotive brands in social media using advanced, accurate machine learning technology.
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The analysis, which ranked 18 brands on social data over the 18. Months found that in Q1 2019, Chevrolet (35.89 score) followed by Lexus (28.88). Mercedes (17.00), Ford (15.76) and Mazda (15.19) were the most trusted brands based on this social language analysis.
“In this ‘post-trust’ environment of tribalism, polarization and socially-empowered movements, brand trust can be created or destroyed in minutes,” said Rob Key, CEO of Converseon. “Today, there is a growing expectation for brands to not just sell specific products or services, but to become purpose-driven, with expectations to weigh in and take sides on important issues of the day. SoTI can now help brands better understand, measure and act on this data which is critical in a #fakenews era.”
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SoTI is built upon our proprietary advanced machine learning analysis of human conversation in public social data and provides the most accurate, meaningful and actionable analysis available. Using the Conversus.AI MLaas platform, the data was accurately classified for trust and distrust even when specific keywords were not present. The data was processed and annotated at the most granular “target” or aspect-level and included “intensity” scores to analyze the strength of opinion. Finally, the data was scored on leading and lagging scale utilizing Dynamic Dirichlet-Multinomial modeling.
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