When Will Machines Start Winning: Where artificial intelligence needs to get to match human analysis

This paper deconstructs the working of human analysis of big social data to highlight the distinction between human and machine analysis and the steps that need to be taken to improve the performance of machine-based approaches.

When Will Machines Start Winning: Where artificial intelligence needs to get to match human analysis

Daniel Fazekas

Introduction

This paper's aim is to tackle the meaning problem. Analysis of social big data is done both by humans and machines, but the results, i.e. the insights delivered by the analysis, are starkly different. In contrast to algorithmic analysis, human analysis delivers an understanding of the data which sheds light on the underlying intentions of the authors of social media conversations by using parameters grounded in the context of the data. Machine-based analysis of social media data yields a different kind of...

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