Avro format is not designed to be human readable and it's desinged to be consumed by programs. But you have a few options to view this data or even better analyze the data.
Create Hive Table: This option will allow you to analyze data using SQL queries, Spark SQL, Spark notebooks, visualization tools like Tableau and Excel too.
Your table creation script will look like this:
CREATE TABLE twitter_data
ROW FORMAT
SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
STORED AS
INPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat'
OUTPUTFORMAT 'org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat'
TBLPROPERTIES ('avro.schema.literal'='{...
In schema literal, you can define your own schema too.
Write Program: If you are developer and want to/like to wrangle data using programming, you have many languages to choose from to read, parse, convert and write from Avro file to JSON.