read_json with typ="series" of json list of bools results in timestamps/Exception
#### Code Sample, a copy-pastable example if possible

```python
import pandas as pd
pd.read_json('[true, true, false]', typ="series")
```
results in the following Pandas Series object in older Pandas versions:
```
0   1970-01-01 00:00:01
1   1970-01-01 00:00:01
2   1970-01-01 00:00:00
dtype: datetime64[ns]
```
Since 1.0.0 it raises TypeError: <class 'bool'> is not convertible to datetime


#### Problem description
The expected output would be a Pandas Series of bools. Note that
* with typ="frame" it works and the result is a dataframe with one column with bool values
* with convert_dates set to False correctly outputs a Series of boolean values

This is a problem because
* users would expect a Series of bools (and neither an exception nor a series of timestamps)
* it is inconsistent with the "frame" case

#### Expected Output

#### Output of ``pd.show_versions()``

<details>

[paste the output of ``pd.show_versions()`` here below this line]

INSTALLED VERSIONS
------------------
commit           : None
python           : 3.8.1.final.0
python-bits      : 64
OS               : Linux
OS-release       : 5.4.13-arch1-1
machine          : x86_64
processor        : 
byteorder        : little
LC_ALL           : None
LANG             : de_DE.UTF-8
LOCALE           : de_DE.UTF-8

pandas           : 1.0.0
numpy            : 1.18.1
pytz             : 2019.3
dateutil         : 2.8.1
pip              : 20.0.2
setuptools       : 44.0.0
Cython           : 0.29.14
pytest           : 5.2.4
hypothesis       : None
sphinx           : None
blosc            : None
feather          : None
xlsxwriter       : None
lxml.etree       : 4.4.2
html5lib         : 1.0.1
pymysql          : None
psycopg2         : None
jinja2           : 2.10.3
IPython          : 7.11.1
pandas_datareader: None
bs4              : None
bottleneck       : None
fastparquet      : None
gcsfs            : None
lxml.etree       : 4.4.2
matplotlib       : 3.1.2
numexpr          : None
odfpy            : None
openpyxl         : None
pandas_gbq       : None
pyarrow          : None
pytables         : None
pytest           : 5.2.4
pyxlsb           : None
s3fs             : None
scipy            : 1.3.2
sqlalchemy       : 1.3.11
tables           : None
tabulate         : None
xarray           : None
xlrd             : 1.2.0
xlwt             : None
xlsxwriter       : None
numba            : None
</details>
