The Limitations of AI-Only Social Listening Suites, and Why Analysts Mean Accuracy
The Limitations of AI-Only Social Listening Suites, and Why Analysts Mean Accuracy
Artificial intelligence has become a vital tool for social media marketers, with AI-powered social listening suites helping businesses to track and analyze social media conversations happening online. While these tools offer valuable insights into consumer behaviour and sentiment, they also have some limitations that businesses should be aware of;
Lack of Context and Understanding
One of the most significant limitations of AI social listening suites is the lack of context they can pick up from conversations. While these tools can analyze large volumes of social media data and identify patterns and trends, they can't always understand tone or the nuances of human language and behaviour. For example, sarcasm and irony are challenging for AI to identify, and these nuances can significantly impact the sentiment of a social media post and often miss the risk. AI social listening suites use machine learning algorithms to analyze social media conversations and determine sentiment. However, these algorithms are not always accurate, and their accuracy can vary depending on the language, culture, and context of the conversation. For example, an AI-powered social listening suite may incorrectly interpret a positive sentiment in a sarcastic or negative post, leading to inaccurate data and insights.
Limited Language Support
Most AI social listening suites are designed to analyze social media posts in English, which can limit their effectiveness in non-English speaking countries. While some social listening tools offer support for multiple languages, their accuracy may be lower than when analyzing English-language posts. This can make it challenging for businesses to track social media conversations in international markets accurately.
Limited Photo, Audio and Video Context
Although AI can analyze photos and videos using state-of-the-art facial recognition technology, it has extreme limitations in understanding tone or nuances. For example, an image recognition algorithm can often misidentify objects or a subject in a photo or video or a sentiment analysis algorithm may misinterpret the emotional tone of a video.
While AI social listening suites offer valuable insights into consumer behaviour and sentiment for social media marketers and customer service teams, it is important to understand their limitations and use them in conjunction with human analysis and interpretation. RiskEye takes that step further than other social listening suites by combining AI and highly skilled analysts to guarantee the accuracy of the information gathered. RiskEye’s software monitors all online activity related to a business, categorizes and analyzes the data, and their trained agents carefully evaluate the sentiment of each post for 100% accuracy in both sentiment analysis and risk assessment - and do it all in real-time.
RiskEye gives you the power to anticipate, detect, and accommodate issues online in real-time, before they become a threat or harm your business. Check out our site to find out how we prevent, protect, and fix for businesses all over Europe, the UK, and the U.S. Our software catches all conversations to, from, or about you in real-time so you never miss a thing!
For an insight into online risk and what it means for you, check out our website www.riskeye.com, or email [email protected]. We make social safer.