Automated accounts have an enormous presence on social media platforms. A growing amount of social media content is created and amplified using fake accounts operated by bots. Large collections of social bots, also known as botnets, attempt to affect the perception of people about brands, public figures, and socio-political debates. Social media bots also cause fake ad impressions. ShieldSquare safeguards your social media platform against bad bots in real-time. We provide contextual intelligence on bots patterns, signatures, and intent to help you keep malicious bots away.
Impact of Bots on Social Media Networks
Content, Trends, and Profile Data Scraping
Fraudsters deploy bots on social media portals to scrape unique content and publicly available user information. Many organizations use automated traffic to scrape trends and user-generated content for sentiment analysis. Unauthorized scraping also impacts your ability to monetize content.
ShieldSquare applies intent analysis and adaptive learning techniques to understand the intent behind bot attacks on your social media platform. We use device and browser fingerprinting to accurately detect and mitigate sophisticated automated activity on social media networks.
Fake News and Influence on Public Opinion
Anonymous commentators and hacktivists use bots to spread fake news or inflame online debates. Businesses also influence brand perceptions through non-human interactions. Bots hijack hashtags and trends to manipulate public opinion. They also perform click farming and tweetstorm. Dissemination of inaccurate information adversely affects the reputation of brands, political parties, and individuals.
Proprietary Intent-based Deep Behavior Analysis (IDBA) leverages the latest developments in deep learning to detect automated amplification and engagement on social networks. ShieldSquare’s bot detection engine identifies large-scale hordes of social botnets that hijack discussions and disrupt social forums.
Fake Accounts and Account Takeover
Fake accounts amplify social signals including likes, shares, views, and skew the results of online polls. Bots distort the data that is used for opinion mining, social listening, and consumer behavior prediction. Botnet operators perform credential stuffing attacks and use stolen credentials to take over accounts. Compromised accounts of businesses and individuals lead to unauthorized publication of confidential information, reputational damage, financial losses, and disclosure of personal data.
We collect device, browser, and account-specific parameters to differentiate between genuine and fake accounts. We provide detailed traffic analytics based on the analysis of user interactions to help you filter fake accounts, and also stop illegal activities through these accounts.
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