The Opposite(Antonym) of “objectivity”
The antonyms of objectivity are subjectivity, partiality, and bias. These words describe the opposite of objectivity, which is the ability to view things without personal feelings, opinions, or biases.
Explore all Antonyms of “objectivity”
Definitions and Examples of subjectivity, partiality, bias
Learn when and how to use these words with these examples!
The quality of being based on personal opinions, feelings, or beliefs rather than on facts or evidence.
Example
The decision was made with a lot of subjectivity since everyone had different opinions.
The quality of being biased or prejudiced towards a particular person, group, or thing.
Example
The judge was accused of partiality towards the defendant because they were friends.
Prejudice in favor of or against something, often considered unfair.
Example
The news article had a clear bias towards one political party.
Key Differences: subjectivity vs partiality vs bias
- 1Subjectivity refers to personal opinions and beliefs, while objectivity refers to viewing things without personal feelings or opinions.
- 2Partiality refers to being biased towards a particular person or group, while objectivity refers to viewing things without any bias.
- 3Bias refers to prejudice in favor of or against something, while objectivity refers to viewing things without any prejudice.
Effective Usage of subjectivity, partiality, bias
- 1Academic Writing: Use objectivity to write research papers and essays that are based on facts and evidence.
- 2Journalism: Use objectivity to report news stories without any personal opinions or biases.
- 3Debates: Use subjectivity, partiality, and bias to argue a point of view and show personal opinions or biases.
Remember this!
The antonyms of objectivity are subjectivity, partiality, and bias. Use objectivity in academic writing and journalism to report facts and evidence without personal opinions or biases. Use subjectivity, partiality, and bias in debates to argue a point of view and show personal opinions or biases.