Data is an essential part of smart cities, and data can play an important role in veracity;estimation;decision making processes. Data generated through web applications and devices utilize the Internet of Things (IoT) and related technologies. Thus, it is also important to be able to create big data, which has historically been defined as having three key dimensions: volume, variety, and velocity. However, recently, veracity has been added as the fourth dimension. Data veracity relates to the quality of the data. Any potential issues with the quality of the data must be corrected because low-quality data leads to poor software construction，and ultimately bad decision making. In this work，we reviewed the existing literature on related technical solutions that address data veracity based on the domain of its application, including social media, web, and IoT applications. The challenges or limitations and related gaps in existing work will be discussed，and future research directions will be proposed to address the critical issues of data veracity in the era of big data.
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