Cognitive Privacy of Personalized Digital Finance Images on Social Media Platforms Using Artificial Neural Networks
Ishita Sharma, Sachin Sharma · 2023
The growing popularity of personalized digital financial imagery on social networking platforms raises issues about cognitive privacy, which means to a person's capacity to restrict access to and exploitation of their private details, thoughts, and sentiments. This abstract investigates the possible privacy hazards connected with individualized digital financial imagery on social media platforms and emphasizes the need for enhanced cognitive privacy safeguards using Artificial Neural Networks (ANN). When individuals post photographs of their financial objectives, accomplishments, and achievements on social media sites, personalized digital finance images have become increasingly popular. Financial statements, financial assets, and income levels are frequently shown in these displays. Personalization of photos on social networking sites creates various privacy concerns, including the possibility of financial fraud and theft. The usage of individualized digital finance imagery on social networking platforms raises issues about cognitive privacy, in addition to the possibility of financial crime and identity theft. The capacity to edit digital pictures and change their content has grown in sophistication, enhancing the prospect of targeted and deceptive advertising. This may persuade consumers to make choices that are not in their greatest advantage, such as investing in dangerous financial goods or overspending. To ensure cognitive privacy, stronger privacy safeguards for personalized digital financial imagery on social media networks are required. This might involve employing the use of encryption and other safety measures to safeguard sensitive data and prevent illegal access. It is equally critical to educate users about the hazards of revealing private finance information on social media sites and to offer them with options to manage their privacy settings. Finally, the usage of personalized digital financial imagery on social networking sites raises issues about cognitive privacy as well as the possibility of targeted and deceptive advertising. To preserve cognitive privacy, it is critical to strengthen privacy safeguards and give users with tools to manage their privacy settings.